This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. Senior Automation Engineer The Senior Automation Engineer is responsible for leading the design, implementation, optimization, and lifecycle support of manufacturing automation and control systems across the Logan site. This role drives automation strategy, capital project execution, equipment reliability improvements, and technical standardization while partnering with Manufacturing, Quality, Maintenance, EHS, and Engineering teams to support operational excellence and business growth. This position reports to the Sr. Project & Automation Manager and is part of the Project & Automation Engineering team located in Logan, Utah and will be an on-site role . What you will do: Lead the design, implementation, commissioning, and lifecycle management of PLC, HMI, SCADA, instrumentation, and industrial networking systems supporting manufacturing operations. Serve as the controls & automation engineering lead for capital projects, including automation architecture, vendor management, FAT/SAT execution, startup, and operational handoff. Develop and maintain site automation standards, cybersecurity practices, documentation standards, and equipment modernization roadmaps. Lead complex troubleshooting and root cause analysis for critical manufacturing systems to improve reliability, OEE, and process performance. Provide technical leadership and mentorship for automation and controls activities across the site, influencing engineering best practices, developing internal capabilities, and driving adoption of emerging automation technologies. Who you are: Bachelor's degree in Automation, Controls, Mechatronics, Electrical, Computer Engineering, or a related technical discipline, with 10+ years of industrial automation and controls engineering experience in a manufacturing environment; equivalent combinations of education, technical training, certifications, and directly related experience will also be considered. Demonstrated success leading automation scope for capital projects from concept through startup, including system design, vendor management, commissioning, and operational handoff. Expert-level experience programming and troubleshooting PLC and HMI platforms such as Rockwell Automation Studio 5000 and FactoryTalk View. Deep technical expertise with industrial control systems, instrumentation, electrical systems, and industrial communication networks. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 15% to support vendors, training, and other Cytiva facilities. Ability to work in manufacturing, utility, and laboratory environments. Ability to stand, walk, climb stairs, and occasionally lift up to 25 pounds. It would be a plus if you also possess previous experience in: Life sciences, biotechnology, pharmaceutical, or medical device manufacturing. Ignition, Manufacturing Execution Systems (MES), data historians, or ISA-88/ISA-95 automation frameworks. Commissioning, qualification, and validation of regulated manufacturing systems. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . This job is also eligible for bonus/incentive pay. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
11/12/2026
Full time
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. Senior Automation Engineer The Senior Automation Engineer is responsible for leading the design, implementation, optimization, and lifecycle support of manufacturing automation and control systems across the Logan site. This role drives automation strategy, capital project execution, equipment reliability improvements, and technical standardization while partnering with Manufacturing, Quality, Maintenance, EHS, and Engineering teams to support operational excellence and business growth. This position reports to the Sr. Project & Automation Manager and is part of the Project & Automation Engineering team located in Logan, Utah and will be an on-site role . What you will do: Lead the design, implementation, commissioning, and lifecycle management of PLC, HMI, SCADA, instrumentation, and industrial networking systems supporting manufacturing operations. Serve as the controls & automation engineering lead for capital projects, including automation architecture, vendor management, FAT/SAT execution, startup, and operational handoff. Develop and maintain site automation standards, cybersecurity practices, documentation standards, and equipment modernization roadmaps. Lead complex troubleshooting and root cause analysis for critical manufacturing systems to improve reliability, OEE, and process performance. Provide technical leadership and mentorship for automation and controls activities across the site, influencing engineering best practices, developing internal capabilities, and driving adoption of emerging automation technologies. Who you are: Bachelor's degree in Automation, Controls, Mechatronics, Electrical, Computer Engineering, or a related technical discipline, with 10+ years of industrial automation and controls engineering experience in a manufacturing environment; equivalent combinations of education, technical training, certifications, and directly related experience will also be considered. Demonstrated success leading automation scope for capital projects from concept through startup, including system design, vendor management, commissioning, and operational handoff. Expert-level experience programming and troubleshooting PLC and HMI platforms such as Rockwell Automation Studio 5000 and FactoryTalk View. Deep technical expertise with industrial control systems, instrumentation, electrical systems, and industrial communication networks. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 15% to support vendors, training, and other Cytiva facilities. Ability to work in manufacturing, utility, and laboratory environments. Ability to stand, walk, climb stairs, and occasionally lift up to 25 pounds. It would be a plus if you also possess previous experience in: Life sciences, biotechnology, pharmaceutical, or medical device manufacturing. Ignition, Manufacturing Execution Systems (MES), data historians, or ISA-88/ISA-95 automation frameworks. Commissioning, qualification, and validation of regulated manufacturing systems. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . This job is also eligible for bonus/incentive pay. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard! Why you'll love this job As part of the Identity Services team, you'll help deliver secure digital products that support a reliable and profitable airline. You will design, implement, and care for cybersecurity solutions that protect users, systems, operations, and data, by ensuring strong identity controls such as role based access, authentication, authorization, and governance. This role requires attention to detail, strong problem solving, and high ethical responsibility. The fast paced global airline environment offers opportunities for professional development, continuous growth, and meaningful impact. As the Senior Manager of Identity Protection products, you will be responsible for the Privileged Access, Secrets Management, Digital Certificates & Encryption platforms, teams, and processes. This includes the human and non-human identities that are leveraged by American users and systems. Additional information about the skills needed for this position is listed in the Skills, Licenses & Certifications section below. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Privileged Access Management: Oversee the tools and processes that control, monitor, and secures access to critical systems and sensitive data by users, accounts, and processes with elevated privileges. Secrets Management: Oversee the non-human identity vaulting and lifecycle management platforms. Public Key Infrastructure & Certificate Management: Responsible for management of the public and private PKIs while ensuring certificates are managed throughout their lifecycle. Encryption Services: Responsible for designing, implementing, operating, and governing cryptographic technologies while ensuring compliance, key management, scalability, and enterprise-wide consistency. Access Control & Governance: Develop, implement, oversee, and lead strategic access control policies and procedures to ensure privileged access to systems and data is least-privilege and properly managed. Strategic Planning and Governance: Lead the development and implementation of enterprise-wide strategies for digital certificates, encryption, and PAM, ensuring alignment with organizational goals and regulatory requirements. Product and Portfolio Management: Direct the planning, execution, and delivery of critical projects related to identity & access products, ensuring they meet strategic objectives, are completed on time, and within budget. Stakeholder Communication and Reporting: Communicate key risks, strategies, and statuses related to identity & access products to executive leadership and prepare detailed performance reports with strategic insights and KPIs. Leadership and Development: Provide visionary leadership and mentorship to a team of cybersecurity professionals specializing in identity & access products, fostering a culture of excellence and continuous development through targeted training opportunities. Audit and Compliance: Lead and ensure the execution of regular audits of access controls and directory services to ensure compliance with internal policies and external regulations. Address any identified issues or gaps. Risk Assessment and Management: Oversee risk assessments related to digital certificates, encryption, and PAM, develop strategic risk mitigation plans, and ensure continuous improvement of security measures. Incident Response and Troubleshooting: Oversee and provide strategic direction for the response to and resolution of access-related security incidents and service requests. Guide the troubleshooting and resolution of issues related to user access and directory services. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training. Prior job experience in cybersecurity management or a related field is required. 7+ years of IT career experience in a closely related field 5+ years in a people leadership role Preferred Qualifications- Education & Prior Job Experience Bachelor's degree in Information Security, Computer Science, or a related field; advanced degree preferred 7+ years of IT career experience in a closely related field Proven track record of developing and implementing successful cybersecurity programs Experience managing security audits and assessments Experience with regulatory compliance and industry standards (e.g., GDPR, PCI-DSS, ISO 27001) Skills, Licenses & Certifications Relevant certifications including but not limited to CISSP, CISM, CISA, CompTIA Security+, Certified Identity and Access Manager (CIAM), and Microsoft Certified: Identity and Access Administrator Associate In-depth knowledge of IAM principles, technologies, and best practices. Understanding of Privileged Access, Secret, and Vaulting tools and technologies. Understanding of Public Key Infrastructures, Digital Certificates, and Encryption management, and related secure lifecycle platforms. Knowledge of regulatory compliance requirements related to access management (e.g., GDPR, HIPAA, SOX) Strong problem-solving and analytical skills to identify and address access management issues Strong verbal and written communication skills to effectively interact with technical and non-technical stakeholders Capability to manage IAM projects and initiatives, with experience working with various stakeholders, including technology teams, business teams, and end users. Ability to develop, update, and enforce comprehensive IAM strategies and policies. Proficiency in ensuring compliance with IAM standards and conducting risk assessments. Strong problem-solving and analytical skills to identify and address IAM-related security threats. Strong agile management skills to oversee the implementation and maintenance of IAM solutions. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/12/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard! Why you'll love this job As part of the Identity Services team, you'll help deliver secure digital products that support a reliable and profitable airline. You will design, implement, and care for cybersecurity solutions that protect users, systems, operations, and data, by ensuring strong identity controls such as role based access, authentication, authorization, and governance. This role requires attention to detail, strong problem solving, and high ethical responsibility. The fast paced global airline environment offers opportunities for professional development, continuous growth, and meaningful impact. As the Senior Manager of Identity Protection products, you will be responsible for the Privileged Access, Secrets Management, Digital Certificates & Encryption platforms, teams, and processes. This includes the human and non-human identities that are leveraged by American users and systems. Additional information about the skills needed for this position is listed in the Skills, Licenses & Certifications section below. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Privileged Access Management: Oversee the tools and processes that control, monitor, and secures access to critical systems and sensitive data by users, accounts, and processes with elevated privileges. Secrets Management: Oversee the non-human identity vaulting and lifecycle management platforms. Public Key Infrastructure & Certificate Management: Responsible for management of the public and private PKIs while ensuring certificates are managed throughout their lifecycle. Encryption Services: Responsible for designing, implementing, operating, and governing cryptographic technologies while ensuring compliance, key management, scalability, and enterprise-wide consistency. Access Control & Governance: Develop, implement, oversee, and lead strategic access control policies and procedures to ensure privileged access to systems and data is least-privilege and properly managed. Strategic Planning and Governance: Lead the development and implementation of enterprise-wide strategies for digital certificates, encryption, and PAM, ensuring alignment with organizational goals and regulatory requirements. Product and Portfolio Management: Direct the planning, execution, and delivery of critical projects related to identity & access products, ensuring they meet strategic objectives, are completed on time, and within budget. Stakeholder Communication and Reporting: Communicate key risks, strategies, and statuses related to identity & access products to executive leadership and prepare detailed performance reports with strategic insights and KPIs. Leadership and Development: Provide visionary leadership and mentorship to a team of cybersecurity professionals specializing in identity & access products, fostering a culture of excellence and continuous development through targeted training opportunities. Audit and Compliance: Lead and ensure the execution of regular audits of access controls and directory services to ensure compliance with internal policies and external regulations. Address any identified issues or gaps. Risk Assessment and Management: Oversee risk assessments related to digital certificates, encryption, and PAM, develop strategic risk mitigation plans, and ensure continuous improvement of security measures. Incident Response and Troubleshooting: Oversee and provide strategic direction for the response to and resolution of access-related security incidents and service requests. Guide the troubleshooting and resolution of issues related to user access and directory services. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training. Prior job experience in cybersecurity management or a related field is required. 7+ years of IT career experience in a closely related field 5+ years in a people leadership role Preferred Qualifications- Education & Prior Job Experience Bachelor's degree in Information Security, Computer Science, or a related field; advanced degree preferred 7+ years of IT career experience in a closely related field Proven track record of developing and implementing successful cybersecurity programs Experience managing security audits and assessments Experience with regulatory compliance and industry standards (e.g., GDPR, PCI-DSS, ISO 27001) Skills, Licenses & Certifications Relevant certifications including but not limited to CISSP, CISM, CISA, CompTIA Security+, Certified Identity and Access Manager (CIAM), and Microsoft Certified: Identity and Access Administrator Associate In-depth knowledge of IAM principles, technologies, and best practices. Understanding of Privileged Access, Secret, and Vaulting tools and technologies. Understanding of Public Key Infrastructures, Digital Certificates, and Encryption management, and related secure lifecycle platforms. Knowledge of regulatory compliance requirements related to access management (e.g., GDPR, HIPAA, SOX) Strong problem-solving and analytical skills to identify and address access management issues Strong verbal and written communication skills to effectively interact with technical and non-technical stakeholders Capability to manage IAM projects and initiatives, with experience working with various stakeholders, including technology teams, business teams, and end users. Ability to develop, update, and enforce comprehensive IAM strategies and policies. Proficiency in ensuring compliance with IAM standards and conducting risk assessments. Strong problem-solving and analytical skills to identify and address IAM-related security threats. Strong agile management skills to oversee the implementation and maintenance of IAM solutions. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/12/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/12/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
POSITION SUMMARY: The Senior Manager, Network Infrastructure & Services is responsible for the strategy, architecture, security, availability, and lifecycle management of all network and connectivity services supporting LBCT's critical business and terminal operations. This position provides leadership and oversight for enterprise networking, telecommunications, wireless infrastructure, operational technology (OT) connectivity, carrier services, network security platforms, and managed service providers. The Senior Manager oversees Cisco networking, Fortinet and Palo Alto security platforms, enterprise wireless infrastructure, network segmentation, carrier services, and managed service provider governance. The role ensures highly available, secure, and resilient network services capable of supporting 24x7 marine terminal operations. The Senior Manager develops technology roadmaps, establishes engineering standards, manages vendor relationships, and drives continuous improvement through automation, analytics, and emerging technologies. This position works closely with Cyber Security, Systems Administration, Operations, and business stakeholders to ensure infrastructure services meet operational and strategic business requirements. ESSENTIAL DUTIES AND RESPONSIBILITIES Maintain a safe and secure working environment while promoting IT Operational excellence throughout the organization. Develop and maintain the terminal's network architecture, standards, technology roadmap, and lifecycle strategy. Architect highly available LAN, WAN, wireless, Internet, data center, cloud, and remote-access connectivity. Design networks for environments requiring extremely high availability and rapid recovery from infrastructure failures. Establish architecture and engineering standards for enterprise and outdoor wireless infrastructure. Establish network segmentation and security architectures separating corporate IT, OT, vendors, Internet-facing systems, and other security zones. Develop standards for switching, routing, firewalls, wireless, IP addressing, DNS/DHCP, network access control, and connectivity services. Evaluate emerging technologies and determine their applicability to terminal operations. Ensure infrastructure capacity supports growth in automation, IoT/OT devices, video, telemetry, mobile equipment, and cloud services. Participate in operational change management to minimize disruption to terminal activities. Provide technical leadership and governance for the terminal's Cisco environment. Maintain configuration, architecture, lifecycle, and resilience standards across the network environment. Lead network-security architecture and operations using technologies including Fortinet and Palo Alto Networks, as applicable. Maintain compliance with industry regulations and standards, including those specific to maritime and port operations. Partner with cybersecurity team to implement Zero Trust principles and strengthen protection of critical IT and operational infrastructure. Assist cyber team with regular security audits and vulnerability assessments. Own the performance and governance of network-related managed service providers, telecommunications carriers, contractors, and technology vendors. Maintain appropriate records of vendor issues, decisions, commitments, and outstanding actions. Enforce and monitor contractual service level agreements (SLAs) with IT vendors and assigned independent contractors. Foster a culture of accountability, technical excellence, continuous improvement, and customer service. With other IT management, contribute to the development and implementation of the IT strategy for the terminal. Perform other related duties as assigned. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES : Strong managerial, supervisory, and decision-making skills to achieve department and company goals. Excellent interpersonal skills. Ability to interact with a variety of people throughout the corporation. Ability to remain calm and professional during confrontational situations. Effective public speaking and presentation skills. Be able to present and defend a point of view. Possess excellent communication, written, oral, and interpersonal and teamwork skills, communicate constructively and confidently, listen openly, and collaborate well with staff and others in different groups. Ability to relate information from a multitude of sources. Capability to turn theoretical information into practical applications. Convey a professional and positive attitude with action/results orientation to problem solving and elimination of backlogs. Proven ability and experience in exercising good judgment and discretion in handling confidential materials and matters. Possess strong organizational and analytical skills in managing daily, weekly, monthly, quarterly, or annual deadlines, but flexible to a changing list of priorities, sometimes daily. Excellent attention to detail with a high degree of accuracy. Ability to handle multiple demands; prioritize workloads; establish and maintain positive, cooperative, and productive working relationships. Advanced understanding and familiarity with Microsoft: Server, SQL, Office Suite, Azure, Active Directory, and DNS. Advanced understanding of and familiarity with VMWare and Dell EMC storage solutions. Experience with vulnerability scanning solutions. Familiarity with the NIST Cybersecurity Framework, CIS Controls, and relevant cybersecurity frameworks. In-depth knowledge of Routing and switching, TCP/IP, BGP and OSPF, VLANs and VRFs, Wireless networking, Firewalls, VPN technologies, Network segmentation, DNS/DHCP, Network monitoring, and High-availability architecture. Network automation using APIs, scripting, orchestration platforms, or infrastructure as code. Knowledge of marine terminal technology is highly desirable, including Terminal Operating Systems, Gate systems, OCR, RFID, GPS/location technologies, and truck appointment systems (NAVIS experience a plus). Stay informed about emerging technologies and trends and make recommendations for future IT investments. EDUCATION AND/OR EXPERIENCE Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. Seven (7+) years of progressive experience in network engineering, telecommunications, or infrastructure operations. Five (5+) years of leadership experience managing technical teams or critical infrastructure services. Advanced experience with Cisco networking technologies. Significant experience with enterprise firewall and security technologies, Palo Alto and/or Fortinet preferred. Experience in a marine container terminal or similar industrial environment is preferred Experience working in a unionized environment, a plus. PHYSICAL REQUIREMENTS The ability to work any days or hours, including weekends and holidays. The ability to walk and stand for extended periods of time. The ability to use a computer and keyboard. The ability to sit and work at a desk and/or computer for extended periods of time. The ability to lift 30-50 pounds with or without assistance. The ability to drive a company owned pickup truck. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. WORKING ENVIRONMENT The work is performed both inside and outside at LBCT sites, various marine terminal locations, in temporary offices and in classrooms. Position is based in Long Beach, CA; work assignments may require travel to other marine terminal sites or travel to other offices. TWIC: You will be required to apply and successfully obtain a TWIC (Transportation Worker's Identification Credential). NOTE: This job description is not all-inclusive. An Employee may perform other related duties as required to meet the ongoing needs of LBCT LLC. LBCT LLC is an equal opportunity employer committed to equity and inclusion in the workplace. Compensation details: 00 Yearly Salary PI62cec5-
11/12/2026
Full time
POSITION SUMMARY: The Senior Manager, Network Infrastructure & Services is responsible for the strategy, architecture, security, availability, and lifecycle management of all network and connectivity services supporting LBCT's critical business and terminal operations. This position provides leadership and oversight for enterprise networking, telecommunications, wireless infrastructure, operational technology (OT) connectivity, carrier services, network security platforms, and managed service providers. The Senior Manager oversees Cisco networking, Fortinet and Palo Alto security platforms, enterprise wireless infrastructure, network segmentation, carrier services, and managed service provider governance. The role ensures highly available, secure, and resilient network services capable of supporting 24x7 marine terminal operations. The Senior Manager develops technology roadmaps, establishes engineering standards, manages vendor relationships, and drives continuous improvement through automation, analytics, and emerging technologies. This position works closely with Cyber Security, Systems Administration, Operations, and business stakeholders to ensure infrastructure services meet operational and strategic business requirements. ESSENTIAL DUTIES AND RESPONSIBILITIES Maintain a safe and secure working environment while promoting IT Operational excellence throughout the organization. Develop and maintain the terminal's network architecture, standards, technology roadmap, and lifecycle strategy. Architect highly available LAN, WAN, wireless, Internet, data center, cloud, and remote-access connectivity. Design networks for environments requiring extremely high availability and rapid recovery from infrastructure failures. Establish architecture and engineering standards for enterprise and outdoor wireless infrastructure. Establish network segmentation and security architectures separating corporate IT, OT, vendors, Internet-facing systems, and other security zones. Develop standards for switching, routing, firewalls, wireless, IP addressing, DNS/DHCP, network access control, and connectivity services. Evaluate emerging technologies and determine their applicability to terminal operations. Ensure infrastructure capacity supports growth in automation, IoT/OT devices, video, telemetry, mobile equipment, and cloud services. Participate in operational change management to minimize disruption to terminal activities. Provide technical leadership and governance for the terminal's Cisco environment. Maintain configuration, architecture, lifecycle, and resilience standards across the network environment. Lead network-security architecture and operations using technologies including Fortinet and Palo Alto Networks, as applicable. Maintain compliance with industry regulations and standards, including those specific to maritime and port operations. Partner with cybersecurity team to implement Zero Trust principles and strengthen protection of critical IT and operational infrastructure. Assist cyber team with regular security audits and vulnerability assessments. Own the performance and governance of network-related managed service providers, telecommunications carriers, contractors, and technology vendors. Maintain appropriate records of vendor issues, decisions, commitments, and outstanding actions. Enforce and monitor contractual service level agreements (SLAs) with IT vendors and assigned independent contractors. Foster a culture of accountability, technical excellence, continuous improvement, and customer service. With other IT management, contribute to the development and implementation of the IT strategy for the terminal. Perform other related duties as assigned. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES : Strong managerial, supervisory, and decision-making skills to achieve department and company goals. Excellent interpersonal skills. Ability to interact with a variety of people throughout the corporation. Ability to remain calm and professional during confrontational situations. Effective public speaking and presentation skills. Be able to present and defend a point of view. Possess excellent communication, written, oral, and interpersonal and teamwork skills, communicate constructively and confidently, listen openly, and collaborate well with staff and others in different groups. Ability to relate information from a multitude of sources. Capability to turn theoretical information into practical applications. Convey a professional and positive attitude with action/results orientation to problem solving and elimination of backlogs. Proven ability and experience in exercising good judgment and discretion in handling confidential materials and matters. Possess strong organizational and analytical skills in managing daily, weekly, monthly, quarterly, or annual deadlines, but flexible to a changing list of priorities, sometimes daily. Excellent attention to detail with a high degree of accuracy. Ability to handle multiple demands; prioritize workloads; establish and maintain positive, cooperative, and productive working relationships. Advanced understanding and familiarity with Microsoft: Server, SQL, Office Suite, Azure, Active Directory, and DNS. Advanced understanding of and familiarity with VMWare and Dell EMC storage solutions. Experience with vulnerability scanning solutions. Familiarity with the NIST Cybersecurity Framework, CIS Controls, and relevant cybersecurity frameworks. In-depth knowledge of Routing and switching, TCP/IP, BGP and OSPF, VLANs and VRFs, Wireless networking, Firewalls, VPN technologies, Network segmentation, DNS/DHCP, Network monitoring, and High-availability architecture. Network automation using APIs, scripting, orchestration platforms, or infrastructure as code. Knowledge of marine terminal technology is highly desirable, including Terminal Operating Systems, Gate systems, OCR, RFID, GPS/location technologies, and truck appointment systems (NAVIS experience a plus). Stay informed about emerging technologies and trends and make recommendations for future IT investments. EDUCATION AND/OR EXPERIENCE Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. Seven (7+) years of progressive experience in network engineering, telecommunications, or infrastructure operations. Five (5+) years of leadership experience managing technical teams or critical infrastructure services. Advanced experience with Cisco networking technologies. Significant experience with enterprise firewall and security technologies, Palo Alto and/or Fortinet preferred. Experience in a marine container terminal or similar industrial environment is preferred Experience working in a unionized environment, a plus. PHYSICAL REQUIREMENTS The ability to work any days or hours, including weekends and holidays. The ability to walk and stand for extended periods of time. The ability to use a computer and keyboard. The ability to sit and work at a desk and/or computer for extended periods of time. The ability to lift 30-50 pounds with or without assistance. The ability to drive a company owned pickup truck. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. WORKING ENVIRONMENT The work is performed both inside and outside at LBCT sites, various marine terminal locations, in temporary offices and in classrooms. Position is based in Long Beach, CA; work assignments may require travel to other marine terminal sites or travel to other offices. TWIC: You will be required to apply and successfully obtain a TWIC (Transportation Worker's Identification Credential). NOTE: This job description is not all-inclusive. An Employee may perform other related duties as required to meet the ongoing needs of LBCT LLC. LBCT LLC is an equal opportunity employer committed to equity and inclusion in the workplace. Compensation details: 00 Yearly Salary PI62cec5-
Job Description Job Description In this role, you will be responsible for: Supporting full-lifecycle engineering design and development activities on established UxS and disruptive new products. Using technical acumen and problem-solving skills toward the execution of systems engineering tasks - including (but not limited to) requirements analysis, impact assessments, systems modeling (SysML), trade studies, requirements derivation, design review support, integration planning, test, verification, risk management, and engineering analysis. Preparing and presenting systems engineering work products to internal review teams and external customers at program milestone reviews. Interacting daily with technical leads, program managers, planners, technicians, and other engineers. Driving tasks to completion independently - aided by appropriate supervision and mentoring. Collaborating with others within the workgroup, with other departments, and the customer. Qualifications: Experience with hardware and/or software integration, managing requirements derivation and allocation, or architecture design Experience with DOORS, JIRA, and Cameo/MagicDraw is strongly preferred Experience in a Department of Defense (DoD) environment is preferred Experience or certifications in Model-Based System Engineering (MBSE) is a plus Experience with Windows and/or Unix operating systems is a plus Effective and efficient writing and presentation skills A good working knowledge of Microsoft Office products (i.e., Outlook, Word, Excel, PowerPoint, and Visio) Ability to travel up to 15% Active Secret Clearance preferred; Secret eligibility required Education & Experience Levels Experience levels will be determined by a hiring team. We are looking for candidates with a bachelor's and/or master's degree in systems engineering, test engineering, or a related engineering field. Experience recommendations below. In compliance with the local pay transparency law, the pay range for this position is:
11/12/2026
Full time
Job Description Job Description In this role, you will be responsible for: Supporting full-lifecycle engineering design and development activities on established UxS and disruptive new products. Using technical acumen and problem-solving skills toward the execution of systems engineering tasks - including (but not limited to) requirements analysis, impact assessments, systems modeling (SysML), trade studies, requirements derivation, design review support, integration planning, test, verification, risk management, and engineering analysis. Preparing and presenting systems engineering work products to internal review teams and external customers at program milestone reviews. Interacting daily with technical leads, program managers, planners, technicians, and other engineers. Driving tasks to completion independently - aided by appropriate supervision and mentoring. Collaborating with others within the workgroup, with other departments, and the customer. Qualifications: Experience with hardware and/or software integration, managing requirements derivation and allocation, or architecture design Experience with DOORS, JIRA, and Cameo/MagicDraw is strongly preferred Experience in a Department of Defense (DoD) environment is preferred Experience or certifications in Model-Based System Engineering (MBSE) is a plus Experience with Windows and/or Unix operating systems is a plus Effective and efficient writing and presentation skills A good working knowledge of Microsoft Office products (i.e., Outlook, Word, Excel, PowerPoint, and Visio) Ability to travel up to 15% Active Secret Clearance preferred; Secret eligibility required Education & Experience Levels Experience levels will be determined by a hiring team. We are looking for candidates with a bachelor's and/or master's degree in systems engineering, test engineering, or a related engineering field. Experience recommendations below. In compliance with the local pay transparency law, the pay range for this position is:
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
11/12/2026
Full time
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
11/12/2026
Full time
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
11/12/2026
Full time
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
11/12/2026
Full time
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
11/12/2026
Full time
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
Locations: Atlanta Chicago Brooklyn Who We Are At Inverto North America, we're shaping the future of procurement and supply chain, and we're doing it with ambition, pace, and purpose. Backed by BCG and driven by our own entrepreneurial spirit, we work globally with market-leading clients to deliver strategies that make businesses stronger. Our people are at the heart of that impact. We're experts in our field, and we don't stand still. We grow our capabilities, expand our offering, and scale our global presence together. Our success opens new doors for everyone here, and we make sure that growth is shared. Over the last few years, we've made big investments in our ability to bring digital and AI-based tools to our clients, including a center of excellence focused on the Digital, Data & AI topic. As we build and expand our existing team of Digital, Data & AI experts, we're looking for individuals who bring data, digital tools, and AI methods into real consulting projects that create measurable value in procurement and supply chain management. If you want to make a tangible difference, build lasting client relationships, and shape what comes next - we'd love to have you with us. What You'll Do In the Manager and Senior Manager roles in Digital, Data, and AI, you won't just gather insights - you'll turn them into action. Consulting work is varied and rigorous, much of it is performed at our client sites. You'll actively work with clients to implement our digital and AI-based solutions in real world contexts to help clients unlock value and shape their technological future. You won't just execute - you'll shape direction. You'll lead stakeholder conversations, translate workshop insights into clear sourcing strategies, and deliver recommendations that enable confident, business-critical decisions. As part of a fast-growing practice and an even faster-growing center of excellence, you'll have the space to shape your journey. Whether you're looking to deepen your expertise, explore new industries, or take the next step in your consulting career, we'll support you with tailored development and real responsibility. This is your opportunity to lead from the front, grow with purpose, and shape what's next - alongside a team that shares your drive. As part of a high-growth company, with accelerated opportunities you will be responsible for: Lead and deliver strategic Data & AI engagements. Own end-to-end delivery of advanced analytics and AI projects across procurement and supply chain use cases. Oversee workstreams involving data transformation, predictive modeling, automation, and GenAI applications. Manage complex stakeholder environments, guide delivery teams, and ensure outcomes are aligned with client objectives. Engage with digital, IT, and business leadership. Prepare and lead senior client meetings, steering committees, and workshops. Translate complex data and AI concepts into clear, actionable recommendations that drive measurable business impact. Turn data into decisions. Lead the design and execution of analytical solutions - ranging from data pipelines and dashboards to predictive models and AI-enabled tools. Synthesize insights from large, complex datasets and build robust, data-backed business cases to support transformation initiatives. Shape the evolution of Data Analytics & AI. Drive the development of new digital and AI offerings, reusable assets, and scalable solutions. Contribute innovative ideas on how emerging technologies (e.g., GenAI, automation, advanced analytics) can create value in procurement and supply chain. Contribute to winning new work. Play a key role in business development by contributing to proposals, client pitches, and opportunity assessments. Bring subject-matter expertise in data, analytics, and AI to shape compelling go-to-market narratives and tailored client solutions. Support and scale expertise. Act as a mentor and coach for junior team members. Lead project teams, provide guidance on technical and analytical approaches, and ensure high-quality, consistent delivery across engagements. Build and maintain knowledge assets. Lead the creation and refinement of internal tools, code libraries, benchmarks, and best practices. Strengthen the firm's data and AI knowledge base to enable faster, insight-driven decision making. Shape our internal community. Take ownership of roles within the Data, Analytics & AI community - supporting recruitment, capability building, training initiatives, and the continued growth of the practice. What You'll Bring 5-6+ years of professional experience in data analytics, AI, or digital consulting, with a strong track record of delivering client-facing projects. Bachelor's degree from an accredited university (Master's preferred) in a relevant field (e.g., Data Science, Engineering, Computer Science, Economics, or similar). Proven ability to lead client engagements, manage teams, and drive project outcomes in data and analytics contexts. Strong experience working with data analysis, visualization, and transformation tools (e.g., SQL, Power BI, Excel), combined with hands-on expertise in Python for analytics, automation, or AI workflows. Experience with cloud platforms (Azure preferred) and/or modern data ecosystems. Practical exposure to AI and GenAI technologies (e.g., LLMs, APIs, retrieval-based systems, or workflow orchestration tools) and their business applications. Ability to translate complex business problems-particularly in procurement and supply chain-into scalable analytics and AI solutions. Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences. Results-driven mindset with a proactive, ownership-oriented approach. Business-fluent written and spoken English. Willingness to travel based on client and project needs. An entrepreneurial, collaborative mindset with a passion for innovation and team development. Consulting mindset and behaviors: independence, structured thinking, clear communication of insights, and the confidence to influence clients and stakeholders. Results-oriented mindset with a high level of personal accountability. Willingness to travel to work with clients and Inverto teams. At times, this role will require significant travel to client sites. The amount of travel will depend on client needs and nature of projects. An authentic, entrepreneurial spirit that thrives through team collaboration. Who You'll Work With Talented, highly driven colleagues with deep expertise in procurement, tech sourcing, and related fields. Entrepreneurial thinkers with a strong growth mindset and passion for procurement and supply chain. Teammates who bring energy, focus, and real-world value-creation experience. Authentic, collaborative people who elevate the team and support each other to succeed. Additional info Travel is anticipated and will vary based on specific project locations. What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands-on applications. A unique experience to work alongside a team of passionate and driven problem-solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. For U.S. Applicants: The base compensation for this role is: Manager: $200,000 in USD Project Manager: $210,000 in USD In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children. $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs. Dental coverage, including up to $5,000 (USD) in orthodontia benefits. Vision insurance with coverage for both glasses and contact lenses annually. Reimbursement for gym memberships and other fitness activities. Fully vested retirement contributions made annually, whether you contribute or not. Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years. Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement. Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. To learn more about our employee benefit please check our Benefits page. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national . click apply for full job details
11/12/2026
Full time
Locations: Atlanta Chicago Brooklyn Who We Are At Inverto North America, we're shaping the future of procurement and supply chain, and we're doing it with ambition, pace, and purpose. Backed by BCG and driven by our own entrepreneurial spirit, we work globally with market-leading clients to deliver strategies that make businesses stronger. Our people are at the heart of that impact. We're experts in our field, and we don't stand still. We grow our capabilities, expand our offering, and scale our global presence together. Our success opens new doors for everyone here, and we make sure that growth is shared. Over the last few years, we've made big investments in our ability to bring digital and AI-based tools to our clients, including a center of excellence focused on the Digital, Data & AI topic. As we build and expand our existing team of Digital, Data & AI experts, we're looking for individuals who bring data, digital tools, and AI methods into real consulting projects that create measurable value in procurement and supply chain management. If you want to make a tangible difference, build lasting client relationships, and shape what comes next - we'd love to have you with us. What You'll Do In the Manager and Senior Manager roles in Digital, Data, and AI, you won't just gather insights - you'll turn them into action. Consulting work is varied and rigorous, much of it is performed at our client sites. You'll actively work with clients to implement our digital and AI-based solutions in real world contexts to help clients unlock value and shape their technological future. You won't just execute - you'll shape direction. You'll lead stakeholder conversations, translate workshop insights into clear sourcing strategies, and deliver recommendations that enable confident, business-critical decisions. As part of a fast-growing practice and an even faster-growing center of excellence, you'll have the space to shape your journey. Whether you're looking to deepen your expertise, explore new industries, or take the next step in your consulting career, we'll support you with tailored development and real responsibility. This is your opportunity to lead from the front, grow with purpose, and shape what's next - alongside a team that shares your drive. As part of a high-growth company, with accelerated opportunities you will be responsible for: Lead and deliver strategic Data & AI engagements. Own end-to-end delivery of advanced analytics and AI projects across procurement and supply chain use cases. Oversee workstreams involving data transformation, predictive modeling, automation, and GenAI applications. Manage complex stakeholder environments, guide delivery teams, and ensure outcomes are aligned with client objectives. Engage with digital, IT, and business leadership. Prepare and lead senior client meetings, steering committees, and workshops. Translate complex data and AI concepts into clear, actionable recommendations that drive measurable business impact. Turn data into decisions. Lead the design and execution of analytical solutions - ranging from data pipelines and dashboards to predictive models and AI-enabled tools. Synthesize insights from large, complex datasets and build robust, data-backed business cases to support transformation initiatives. Shape the evolution of Data Analytics & AI. Drive the development of new digital and AI offerings, reusable assets, and scalable solutions. Contribute innovative ideas on how emerging technologies (e.g., GenAI, automation, advanced analytics) can create value in procurement and supply chain. Contribute to winning new work. Play a key role in business development by contributing to proposals, client pitches, and opportunity assessments. Bring subject-matter expertise in data, analytics, and AI to shape compelling go-to-market narratives and tailored client solutions. Support and scale expertise. Act as a mentor and coach for junior team members. Lead project teams, provide guidance on technical and analytical approaches, and ensure high-quality, consistent delivery across engagements. Build and maintain knowledge assets. Lead the creation and refinement of internal tools, code libraries, benchmarks, and best practices. Strengthen the firm's data and AI knowledge base to enable faster, insight-driven decision making. Shape our internal community. Take ownership of roles within the Data, Analytics & AI community - supporting recruitment, capability building, training initiatives, and the continued growth of the practice. What You'll Bring 5-6+ years of professional experience in data analytics, AI, or digital consulting, with a strong track record of delivering client-facing projects. Bachelor's degree from an accredited university (Master's preferred) in a relevant field (e.g., Data Science, Engineering, Computer Science, Economics, or similar). Proven ability to lead client engagements, manage teams, and drive project outcomes in data and analytics contexts. Strong experience working with data analysis, visualization, and transformation tools (e.g., SQL, Power BI, Excel), combined with hands-on expertise in Python for analytics, automation, or AI workflows. Experience with cloud platforms (Azure preferred) and/or modern data ecosystems. Practical exposure to AI and GenAI technologies (e.g., LLMs, APIs, retrieval-based systems, or workflow orchestration tools) and their business applications. Ability to translate complex business problems-particularly in procurement and supply chain-into scalable analytics and AI solutions. Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences. Results-driven mindset with a proactive, ownership-oriented approach. Business-fluent written and spoken English. Willingness to travel based on client and project needs. An entrepreneurial, collaborative mindset with a passion for innovation and team development. Consulting mindset and behaviors: independence, structured thinking, clear communication of insights, and the confidence to influence clients and stakeholders. Results-oriented mindset with a high level of personal accountability. Willingness to travel to work with clients and Inverto teams. At times, this role will require significant travel to client sites. The amount of travel will depend on client needs and nature of projects. An authentic, entrepreneurial spirit that thrives through team collaboration. Who You'll Work With Talented, highly driven colleagues with deep expertise in procurement, tech sourcing, and related fields. Entrepreneurial thinkers with a strong growth mindset and passion for procurement and supply chain. Teammates who bring energy, focus, and real-world value-creation experience. Authentic, collaborative people who elevate the team and support each other to succeed. Additional info Travel is anticipated and will vary based on specific project locations. What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands-on applications. A unique experience to work alongside a team of passionate and driven problem-solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. For U.S. Applicants: The base compensation for this role is: Manager: $200,000 in USD Project Manager: $210,000 in USD In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children. $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs. Dental coverage, including up to $5,000 (USD) in orthodontia benefits. Vision insurance with coverage for both glasses and contact lenses annually. Reimbursement for gym memberships and other fitness activities. Fully vested retirement contributions made annually, whether you contribute or not. Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years. Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement. Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. To learn more about our employee benefit please check our Benefits page. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national . click apply for full job details
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/12/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Job Description Job Description ENSTAR is on a mission to deliver safe and reliable natural gas to Alaskans. If you share our passion for these values and are eager to make a meaningful impact, we invite you to join our dedicated team. What You Will Do: As a GIS Technician, you will play an essential role within our Engineering department, reporting to the Manager of Southern Division Operations. Your responsibilities will include, but are not limited to: Build, test, and deploy web and mobile GIS applications with out-of-the-box tools, and design, develop, test, and deploy ArcGIS Enterprise data services, geoprocessing models, and scripts. Support and maintain enterprise geodatabases (SDE). Design, develop, test, and deploy GIS database models and templates, including file and enterprise geodatabases, to ENSTAR project specifications. Create and maintain data and metadata for GIS maps and applications. Develop editing, field-collection, and geoprocessing procedures for the drafting group, entry-level GIS staff, and editors in other departments. Administer GIS workstations, tablets, and enterprise GIS applications: install, update, and troubleshoot software, and establish and maintain application security. Coordinate with ENSTAR IT and external contractor support on server provisioning, operating-system updates, and security per ENSTAR IT practices. Test GIS project deliverables, solicit stakeholder feedback, and communicate findings and recommendations to the project team. Respond to difficult or complex database and map inquiries from end users, developers, and contractors. Assist with annual USDOT PHMSA reports and the National Pipeline Mapping System submission and participate in PHMSA audits as needed. Work with external contractors and internal stakeholders on GIS projects. Gather requirements and develop and manage project plans, including scope, budget, and schedule, in coordination with the contracted IT project management team. Participate in integrating GIS with other business applications. Develop documentation for GIS programs and applications, train end users, and participate in required training. Other duties as assigned. What You Will Bring: Associate's degree in GIS or a related field required; bachelor's degree preferred. Equivalent combinations of education and experience, technical certifications, or direct ENSTAR experience may be considered. Three or more years using GIS software, including Esri desktop software and enterprise geodatabases or ArcGIS Enterprise. Working knowledge of Python or Arcade, and the ability to build SQL expressions and queries. Demonstrated proficiency in Microsoft Office applications and the ability to learn new software systems. Valid Alaska driver's license and qualification to operate a vehicle under ENSTAR's Driving Policy. Ability to pass background, past employment, credit, drug, and driving-record screening. Preferred: experience with the Esri UPDM data model, Field Maps or Survey123, and PHMSA or NPMS reporting. Preferred Skills and Qualifications: Excellent written, verbal, and listening skills. Strong analytical and organizational skills, including evaluating data, compiling statistics, and preparing maps, reports, graphs, tables, and charts with GIS and other software. Experience with Esri desktop software, including ArcGIS Pro, for editing, analysis, and map production. Working knowledge of map projections, geographic and projected coordinate systems, and datum and coordinate transformations. Experience applying cartographic principles to paper and electronic map products, including symbology, labeling, scale, and layout. Knowledge of ArcGIS Enterprise components: ArcGIS Server, Portal for ArcGIS, ArcGIS Data Store, GeoEvent Server, and hosted or referenced services. Knowledge of ArcGIS Field Maps and Survey123 for field data collection, including form design, offline use, and synchronization back to the enterprise geodatabase. Strong relational database skills, including building SQL expressions and queries against an enterprise geodatabase (SQL Server). Knowledge of the Esri UPDM data model and the ability to design file and enterprise spatial databases to company specifications, including feature classes, domains, subtypes, relationship classes, and metadata. Knowledge of enterprise geodatabase editing patterns used by drafting and other departments, including versioning and reconcile-and-post where those workflows are in place. Knowledge of web application design with out-of-the-box ArcGIS tools such as Experience Builder, Dashboards, or Web AppBuilder. Knowledge of high-accuracy GPS collection practices, including coordinate systems, accuracy thresholds, and correction methods. Working knowledge of Python and Arcade for geoprocessing, attribute rules, and pop-ups, and the ability to learn additional languages as required. Working knowledge of business software applications and the ability to learn organization-specific systems and processes. Working knowledge of the GIS data elements used in annual PHMSA reports and NPMS submissions. If you meet most but not all of the position's qualifications, you are still encouraged to apply. What We Will Provide: ENSTAR is committed to your professional development and your overall health and safety. When you join our team, here is what you can expect: Comprehensive health, dental, prescription, and vision benefits 401(k) plan with generous company contribution Insurance coverage for Life, AD&D, and Long-Term Disability Employee Assistance Program Education Assistance Program Wellness Program Generous leave policies A safety-centric culture Inclusive Workplace: At ENSTAR, we are dedicated to an inclusive workplace that celebrates the unique strengths, perspectives, and experiences of all our employees. We believe that our differences empower us to become a stronger team, leading to better decisions, innovation, and business results. Ready to Join Us? If you are eager to be part of our team and make a difference in the energy industry, please apply via our careers site . Qualified applicants who wish to be considered for the above position must submit a completed, signed application via ENSTAR's online application system at under Career Opportunities. The statements contained in the job description are intended to describe the general nature of tasks and responsibilities. It is not intended to be an exhaustive list of all job duties assigned. Other duties will be assigned as appropriate. Equal Opportunity Employer, including veteran and disability. For more information, contact Monica Henning in Human Resources at .
11/12/2026
Full time
Job Description Job Description ENSTAR is on a mission to deliver safe and reliable natural gas to Alaskans. If you share our passion for these values and are eager to make a meaningful impact, we invite you to join our dedicated team. What You Will Do: As a GIS Technician, you will play an essential role within our Engineering department, reporting to the Manager of Southern Division Operations. Your responsibilities will include, but are not limited to: Build, test, and deploy web and mobile GIS applications with out-of-the-box tools, and design, develop, test, and deploy ArcGIS Enterprise data services, geoprocessing models, and scripts. Support and maintain enterprise geodatabases (SDE). Design, develop, test, and deploy GIS database models and templates, including file and enterprise geodatabases, to ENSTAR project specifications. Create and maintain data and metadata for GIS maps and applications. Develop editing, field-collection, and geoprocessing procedures for the drafting group, entry-level GIS staff, and editors in other departments. Administer GIS workstations, tablets, and enterprise GIS applications: install, update, and troubleshoot software, and establish and maintain application security. Coordinate with ENSTAR IT and external contractor support on server provisioning, operating-system updates, and security per ENSTAR IT practices. Test GIS project deliverables, solicit stakeholder feedback, and communicate findings and recommendations to the project team. Respond to difficult or complex database and map inquiries from end users, developers, and contractors. Assist with annual USDOT PHMSA reports and the National Pipeline Mapping System submission and participate in PHMSA audits as needed. Work with external contractors and internal stakeholders on GIS projects. Gather requirements and develop and manage project plans, including scope, budget, and schedule, in coordination with the contracted IT project management team. Participate in integrating GIS with other business applications. Develop documentation for GIS programs and applications, train end users, and participate in required training. Other duties as assigned. What You Will Bring: Associate's degree in GIS or a related field required; bachelor's degree preferred. Equivalent combinations of education and experience, technical certifications, or direct ENSTAR experience may be considered. Three or more years using GIS software, including Esri desktop software and enterprise geodatabases or ArcGIS Enterprise. Working knowledge of Python or Arcade, and the ability to build SQL expressions and queries. Demonstrated proficiency in Microsoft Office applications and the ability to learn new software systems. Valid Alaska driver's license and qualification to operate a vehicle under ENSTAR's Driving Policy. Ability to pass background, past employment, credit, drug, and driving-record screening. Preferred: experience with the Esri UPDM data model, Field Maps or Survey123, and PHMSA or NPMS reporting. Preferred Skills and Qualifications: Excellent written, verbal, and listening skills. Strong analytical and organizational skills, including evaluating data, compiling statistics, and preparing maps, reports, graphs, tables, and charts with GIS and other software. Experience with Esri desktop software, including ArcGIS Pro, for editing, analysis, and map production. Working knowledge of map projections, geographic and projected coordinate systems, and datum and coordinate transformations. Experience applying cartographic principles to paper and electronic map products, including symbology, labeling, scale, and layout. Knowledge of ArcGIS Enterprise components: ArcGIS Server, Portal for ArcGIS, ArcGIS Data Store, GeoEvent Server, and hosted or referenced services. Knowledge of ArcGIS Field Maps and Survey123 for field data collection, including form design, offline use, and synchronization back to the enterprise geodatabase. Strong relational database skills, including building SQL expressions and queries against an enterprise geodatabase (SQL Server). Knowledge of the Esri UPDM data model and the ability to design file and enterprise spatial databases to company specifications, including feature classes, domains, subtypes, relationship classes, and metadata. Knowledge of enterprise geodatabase editing patterns used by drafting and other departments, including versioning and reconcile-and-post where those workflows are in place. Knowledge of web application design with out-of-the-box ArcGIS tools such as Experience Builder, Dashboards, or Web AppBuilder. Knowledge of high-accuracy GPS collection practices, including coordinate systems, accuracy thresholds, and correction methods. Working knowledge of Python and Arcade for geoprocessing, attribute rules, and pop-ups, and the ability to learn additional languages as required. Working knowledge of business software applications and the ability to learn organization-specific systems and processes. Working knowledge of the GIS data elements used in annual PHMSA reports and NPMS submissions. If you meet most but not all of the position's qualifications, you are still encouraged to apply. What We Will Provide: ENSTAR is committed to your professional development and your overall health and safety. When you join our team, here is what you can expect: Comprehensive health, dental, prescription, and vision benefits 401(k) plan with generous company contribution Insurance coverage for Life, AD&D, and Long-Term Disability Employee Assistance Program Education Assistance Program Wellness Program Generous leave policies A safety-centric culture Inclusive Workplace: At ENSTAR, we are dedicated to an inclusive workplace that celebrates the unique strengths, perspectives, and experiences of all our employees. We believe that our differences empower us to become a stronger team, leading to better decisions, innovation, and business results. Ready to Join Us? If you are eager to be part of our team and make a difference in the energy industry, please apply via our careers site . Qualified applicants who wish to be considered for the above position must submit a completed, signed application via ENSTAR's online application system at under Career Opportunities. The statements contained in the job description are intended to describe the general nature of tasks and responsibilities. It is not intended to be an exhaustive list of all job duties assigned. Other duties will be assigned as appropriate. Equal Opportunity Employer, including veteran and disability. For more information, contact Monica Henning in Human Resources at .
Job Description Job Description Description As a key technical leader, you will own the architecture and delivery of the high-availability, low-latency AI platform that powers intelligent capabilities across Brivo's core access control and video products. This requires a proactive approach to system ownership-not only implementing features but also defining the technical roadmap for LLM orchestration, tooling, and agent infrastructure, driving architectural discussions on AI safety and reliability, and providing technical guidance to the team. You will directly own the underlying services, integrations, streaming pipelines, and guardrail systems that make generative AI safe and dependable in production. Our best engineers are adept at picking up new things, enjoy solving challenging problems, speak up, and thrive in a dynamic and fast-paced environment. You will join a high-impact team dedicated to building the next generation of AI-powered experiences on Brivo's platform. This team helps Brivo customers derive value from their access control and video systems by making buildings and their data intelligible and actionable through AI-developing platform capabilities ranging from multi-agent orchestration and LLM safety guardrails to tool/MCP servers, real-time streaming, and deep platform integrations. Responsibilities Design, build, and operate MCP (Model Context Protocol) servers and tool registries that expose platform capabilities to LLMs and agents safely and reliably. Deliver generative AI capabilities across the platform-prompt engineering, tool/function calling, agent routing, and stateful human-in-the-loop workflows-that are safe, responsive, and cost-efficient. Build and maintain AI safety guardrails (prompt-injection, data-exposure, and relevance/abuse detection) and resumable tool workflows using Redis-backed checkpointing. Spend approximately 70% of your time coding. This includes architecting and developing scalable, production-grade API and platform services primarily utilizing Node.js/TypeScript and Express for containerized and serverless (AWS Lambda) delivery, backed by an LLM-driven multi-agent orchestration framework. Drive technical design, document key decisions (e.g., Architecture Decision Records - ADRs), and participate rigorously in code reviews and design sessions to maintain the highest quality engineering standards. Own the cloud infrastructure and deployment pipelines, utilizing AWS (Lambda, SQS, Secrets Manager, SSM), CI/CD tooling, feature flags (LaunchDarkly), and externalized configuration (Spring Cloud Config) to automate provisioning and ensure continuous integration and delivery. Collaborate effectively with product managers and designers to design and deliver high-quality features. Work within an Agile team to complete sprint planning, backlog grooming, feature reviews, and closely support your Team Lead with project scoping. Troubleshoot and resolve complex, high-impact production issues, taking full responsibility for application ownership. Proactively identify security vulnerabilities, harden service-to-service auth and rate limiting, and optimize database performance and data models within PostgreSQL. Set a high bar for engineering excellence and serve as a technical mentor to team members, driving process improvements and promoting best practices across the engineering department. Partner with other teams across the organization to support the company's mission through architectural and technical improvements. Qualifications Required 5+ years of professional experience designing, developing, and deploying highly available, scalable software solutions. 5+ years of deep, hands-on experience with Node.js and TypeScript, including serverless development on AWS Lambda. Direct experience building and operating MCP servers (or comparable LLM tool/plugin servers) in production. Proven experience building production REST API services with Express (or equivalent), including authentication, rate limiting, input validation, and OpenAPI/Swagger documentation. Hands-on experience developing LLM-enabled / generative AI applications-tool calling, multi-agent orchestration, and prompt engineering. Strong experience with AWS, containerized deployments, and CI/CD tools. Deep practical experience with relational databases, specifically PostgreSQL, and query optimization. Experience with real-time streaming (Server-Sent Events and/or message queues such as AWS SQS) and Redis for state management. BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience. An advanced degree is preferred. Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Highly Desirable Skills Direct experience developing AI-enabled services, familiarity with LLM provider APIs (e.g., Anthropic Claude, OpenAI), and advanced context/prompt engineering techniques. Experience designing AI safety guardrails (prompt-injection defense, data-exposure prevention) and human-in-the-loop confirmation flows for sensitive operations. Experience authoring and scaling MCP server ecosystems-tool/resource design, transport, and access control for agent-facing APIs. Experience with schema-validation libraries (e.g., Zod), feature-flagging platforms (LaunchDarkly), and externalized configuration (Spring Cloud Config). Familiarity with agent-orchestration frameworks (e.g., LangChain/LangGraph or equivalent) and LLM evaluation, tracing, and cost/latency optimization. Deep expertise in authentication and authorization, including OAuth 2.0, OIDC, and role-based access control for secure, multi-tenant enterprise platforms. Domain experience in physical security, access control, or IoT platforms. Why Work for Us? Brivo is a Great Place to Work-Certified company and the global leader in cloud-based access control and video surveillance. Following our merger with Eagle Eye Networks, we are building the only platform powerful enough to support the future of AI-driven security. Why Your Work Matters Innovation drives our vibe, but purpose drives our mission. You will work on essential systems that protect the health, safety, and welfare of people and property worldwide. At Brivo, your voice is heard, your talent is respected, and your contributions have a global impact. The Brivo Experience: We thrive on in-person collaboration and a "one-team" atmosphere. We embrace our international presence, leveraging diverse ideas and backgrounds to improve our culture and our products. To keep our global teams connected and inspired, we provide a premium onsite experience featuring communal meals, recurring social events, and fully stocked workspaces-ensuring you have everything you need to stay focused while building the future of security. Total Rewards: We support our people with competitive medical, vision, and dental plans (including company-offset premiums), a 401k with company match, and an unlimited Paid Time Off (PTO) policy that empowers you to take the time you need to maintain a healthy work-life balance. Individual compensation packages are based on job-related skills, experience, qualifications, work location, training, and market conditions. In addition, Brivonians enjoy a robust benefits and perks package tailored to their work location.
11/12/2026
Full time
Job Description Job Description Description As a key technical leader, you will own the architecture and delivery of the high-availability, low-latency AI platform that powers intelligent capabilities across Brivo's core access control and video products. This requires a proactive approach to system ownership-not only implementing features but also defining the technical roadmap for LLM orchestration, tooling, and agent infrastructure, driving architectural discussions on AI safety and reliability, and providing technical guidance to the team. You will directly own the underlying services, integrations, streaming pipelines, and guardrail systems that make generative AI safe and dependable in production. Our best engineers are adept at picking up new things, enjoy solving challenging problems, speak up, and thrive in a dynamic and fast-paced environment. You will join a high-impact team dedicated to building the next generation of AI-powered experiences on Brivo's platform. This team helps Brivo customers derive value from their access control and video systems by making buildings and their data intelligible and actionable through AI-developing platform capabilities ranging from multi-agent orchestration and LLM safety guardrails to tool/MCP servers, real-time streaming, and deep platform integrations. Responsibilities Design, build, and operate MCP (Model Context Protocol) servers and tool registries that expose platform capabilities to LLMs and agents safely and reliably. Deliver generative AI capabilities across the platform-prompt engineering, tool/function calling, agent routing, and stateful human-in-the-loop workflows-that are safe, responsive, and cost-efficient. Build and maintain AI safety guardrails (prompt-injection, data-exposure, and relevance/abuse detection) and resumable tool workflows using Redis-backed checkpointing. Spend approximately 70% of your time coding. This includes architecting and developing scalable, production-grade API and platform services primarily utilizing Node.js/TypeScript and Express for containerized and serverless (AWS Lambda) delivery, backed by an LLM-driven multi-agent orchestration framework. Drive technical design, document key decisions (e.g., Architecture Decision Records - ADRs), and participate rigorously in code reviews and design sessions to maintain the highest quality engineering standards. Own the cloud infrastructure and deployment pipelines, utilizing AWS (Lambda, SQS, Secrets Manager, SSM), CI/CD tooling, feature flags (LaunchDarkly), and externalized configuration (Spring Cloud Config) to automate provisioning and ensure continuous integration and delivery. Collaborate effectively with product managers and designers to design and deliver high-quality features. Work within an Agile team to complete sprint planning, backlog grooming, feature reviews, and closely support your Team Lead with project scoping. Troubleshoot and resolve complex, high-impact production issues, taking full responsibility for application ownership. Proactively identify security vulnerabilities, harden service-to-service auth and rate limiting, and optimize database performance and data models within PostgreSQL. Set a high bar for engineering excellence and serve as a technical mentor to team members, driving process improvements and promoting best practices across the engineering department. Partner with other teams across the organization to support the company's mission through architectural and technical improvements. Qualifications Required 5+ years of professional experience designing, developing, and deploying highly available, scalable software solutions. 5+ years of deep, hands-on experience with Node.js and TypeScript, including serverless development on AWS Lambda. Direct experience building and operating MCP servers (or comparable LLM tool/plugin servers) in production. Proven experience building production REST API services with Express (or equivalent), including authentication, rate limiting, input validation, and OpenAPI/Swagger documentation. Hands-on experience developing LLM-enabled / generative AI applications-tool calling, multi-agent orchestration, and prompt engineering. Strong experience with AWS, containerized deployments, and CI/CD tools. Deep practical experience with relational databases, specifically PostgreSQL, and query optimization. Experience with real-time streaming (Server-Sent Events and/or message queues such as AWS SQS) and Redis for state management. BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience. An advanced degree is preferred. Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Highly Desirable Skills Direct experience developing AI-enabled services, familiarity with LLM provider APIs (e.g., Anthropic Claude, OpenAI), and advanced context/prompt engineering techniques. Experience designing AI safety guardrails (prompt-injection defense, data-exposure prevention) and human-in-the-loop confirmation flows for sensitive operations. Experience authoring and scaling MCP server ecosystems-tool/resource design, transport, and access control for agent-facing APIs. Experience with schema-validation libraries (e.g., Zod), feature-flagging platforms (LaunchDarkly), and externalized configuration (Spring Cloud Config). Familiarity with agent-orchestration frameworks (e.g., LangChain/LangGraph or equivalent) and LLM evaluation, tracing, and cost/latency optimization. Deep expertise in authentication and authorization, including OAuth 2.0, OIDC, and role-based access control for secure, multi-tenant enterprise platforms. Domain experience in physical security, access control, or IoT platforms. Why Work for Us? Brivo is a Great Place to Work-Certified company and the global leader in cloud-based access control and video surveillance. Following our merger with Eagle Eye Networks, we are building the only platform powerful enough to support the future of AI-driven security. Why Your Work Matters Innovation drives our vibe, but purpose drives our mission. You will work on essential systems that protect the health, safety, and welfare of people and property worldwide. At Brivo, your voice is heard, your talent is respected, and your contributions have a global impact. The Brivo Experience: We thrive on in-person collaboration and a "one-team" atmosphere. We embrace our international presence, leveraging diverse ideas and backgrounds to improve our culture and our products. To keep our global teams connected and inspired, we provide a premium onsite experience featuring communal meals, recurring social events, and fully stocked workspaces-ensuring you have everything you need to stay focused while building the future of security. Total Rewards: We support our people with competitive medical, vision, and dental plans (including company-offset premiums), a 401k with company match, and an unlimited Paid Time Off (PTO) policy that empowers you to take the time you need to maintain a healthy work-life balance. Individual compensation packages are based on job-related skills, experience, qualifications, work location, training, and market conditions. In addition, Brivonians enjoy a robust benefits and perks package tailored to their work location.
Job Description Job Description Description TL;DR Kharon is seeking a full-time AI Engineer based in Denver. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: Design, develop, and ship proof-of-concept AI applications within days or weeks. Work in fast, agile cycles to test ideas, gather feedback, and refine models and interfaces. Build and integrate advanced AI components, including Model Context Protocol clients and servers, foundation model fine-tuning, and multi-agent orchestration frameworks (eg. Claude Agent SDK, LangChain, AutoGPTI) Take features from idea to production, including architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments (e.g., AWS). Partner closely with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems. Develop production-grade data pipelines integrating data to/from AI systems. Develop and maintain internal tools to speed up development cycles, CI/CD scripts, evaluation harnesses, dashboards, and secure sandbox environments. Ensure AI systems are monitored, explainable, and aligned with ethical, regulatory, and performance standards. Stay at the forefront of AI/ML advancements, evaluate open-source frameworks, and share best practices across the team. QUALIFICATIONS: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field preferred. 4+ years of software engineering or machine learning experience, with a focus on applied AI. Strong software development skills in Python and experience with libraries like Langchain/Langgraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark/Polars/Pandas. Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, MCP Servers, Agent Skills, and knowledge of different models and tradeoffs. Strong understanding of how to make use of AI tools for rapid development (Cursor, Claude Code, etc) Familiarity with containerization (Docker), cloud deployment (AWS preferred, Github Actions) Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles. Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains. Excellent communication skills and the ability to thrive in cross-functional, mission-driven environments. ABOUT KHARON: Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a AI Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision insurances FSA program for both medical and dependent care Long term disability 401k + Roth with matching and immediate vesting Flexible paid time off + 11 paid holidays The base salary range at Kharon is set between $130,000 to $160,000 . Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package. If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.
11/12/2026
Full time
Job Description Job Description Description TL;DR Kharon is seeking a full-time AI Engineer based in Denver. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: Design, develop, and ship proof-of-concept AI applications within days or weeks. Work in fast, agile cycles to test ideas, gather feedback, and refine models and interfaces. Build and integrate advanced AI components, including Model Context Protocol clients and servers, foundation model fine-tuning, and multi-agent orchestration frameworks (eg. Claude Agent SDK, LangChain, AutoGPTI) Take features from idea to production, including architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments (e.g., AWS). Partner closely with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems. Develop production-grade data pipelines integrating data to/from AI systems. Develop and maintain internal tools to speed up development cycles, CI/CD scripts, evaluation harnesses, dashboards, and secure sandbox environments. Ensure AI systems are monitored, explainable, and aligned with ethical, regulatory, and performance standards. Stay at the forefront of AI/ML advancements, evaluate open-source frameworks, and share best practices across the team. QUALIFICATIONS: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field preferred. 4+ years of software engineering or machine learning experience, with a focus on applied AI. Strong software development skills in Python and experience with libraries like Langchain/Langgraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark/Polars/Pandas. Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, MCP Servers, Agent Skills, and knowledge of different models and tradeoffs. Strong understanding of how to make use of AI tools for rapid development (Cursor, Claude Code, etc) Familiarity with containerization (Docker), cloud deployment (AWS preferred, Github Actions) Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles. Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains. Excellent communication skills and the ability to thrive in cross-functional, mission-driven environments. ABOUT KHARON: Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a AI Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision insurances FSA program for both medical and dependent care Long term disability 401k + Roth with matching and immediate vesting Flexible paid time off + 11 paid holidays The base salary range at Kharon is set between $130,000 to $160,000 . Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package. If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.
Job Description Job Description General Summary: The OSP Designer position will perform a variety of technical and design duties utilizing internal software related to the design of outside plant (OSP) telecommunication projects including but not limited to the design/layout of fiber, preparation of engineering drawings, interaction with customers/developers and field audits. This position is 80% travel and will be based out of one of our office locations - Bismarck, ND, Horace, ND, or Denver, CO. Essential Job Functions: Provide design, plans, specifications, reports, maps, schedules, estimates, data collection, and documents and agreements as needed Use internal software and equipment to prepare and revise technical drawings using company established standard procedures Handle multiple task/project assignments with the ability to prioritize the level of effort required for each assignment Respond to client requests and inquiries that may affect existing OSP cable facilities Assist engineers and project managers with relocating existing buried cables. Prepare relocation design, easement, permit and construction cost estimates and schedules Prepare alignment and splicing design details Understand right of way and easements to properly process the required documents Collaborate with design team to solve design issues Communicate consistently with the project manager, client and contractor Read and interpret construction plans to assist with client management and effectively communicate to answer inquiries from coworkers, clients, or the public Having a strong work ethic and be a self-starter, able to effectively manage multiple priorities and adapt to change within a fast-paced environment Must have a valid driver's license and be able to operate motorized vehicles Regular, reliable, consistent and punctual attendance is required Perform other duties and responsibilities as required to fulfill job function or as assigned Knowledge, Skills, and Abilities: Knowledge and experience in the engineering and/or construction of aerial, underground copper and fiber facilities Proficient in Microsoft Office Suite, ESRI GIS, Google Earth and CAD systems Demonstrate strong communications skills with the ability to perform field site meetings with developers, customers, local agencies, and internal team members Providing support and service through excellent interpersonal, written, and oral communication skills Demonstrating excellent listening skills and the ability to ask probing questions, and understand concerns to reach a mutually beneficial resolution Proficient in all aspects of aerial construction including span lengths, pole loading, anchoring, guying, and attachment heights Ability to become familiar with the plans and specifications, maps, and related material for each project and be able to utilize the information appropriately Ability to work independently, provide leadership, mentor and direct others on projects Demonstrate the ability to accept responsibility for and work under occasional stressful situations with frequent interruptions Demonstrate desire to learn new skills as technologies change Education and Experience: Associate degree in telecommunications, drafting technology or a related field Experience in fiber design and construction management including understanding of aerial, underground, OSP fiber and substructure design Knowledge of telephone industry standards, local telecom practices and procedures, local city state and governmental rules and regulations Experience with OSP database applications PHYSICAL REQUIREMENTS 0-24% 25-49% 50-74% 75-100% Seeing: Must be able to read computer screen and various reports. Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus. 75-100%
11/12/2026
Full time
Job Description Job Description General Summary: The OSP Designer position will perform a variety of technical and design duties utilizing internal software related to the design of outside plant (OSP) telecommunication projects including but not limited to the design/layout of fiber, preparation of engineering drawings, interaction with customers/developers and field audits. This position is 80% travel and will be based out of one of our office locations - Bismarck, ND, Horace, ND, or Denver, CO. Essential Job Functions: Provide design, plans, specifications, reports, maps, schedules, estimates, data collection, and documents and agreements as needed Use internal software and equipment to prepare and revise technical drawings using company established standard procedures Handle multiple task/project assignments with the ability to prioritize the level of effort required for each assignment Respond to client requests and inquiries that may affect existing OSP cable facilities Assist engineers and project managers with relocating existing buried cables. Prepare relocation design, easement, permit and construction cost estimates and schedules Prepare alignment and splicing design details Understand right of way and easements to properly process the required documents Collaborate with design team to solve design issues Communicate consistently with the project manager, client and contractor Read and interpret construction plans to assist with client management and effectively communicate to answer inquiries from coworkers, clients, or the public Having a strong work ethic and be a self-starter, able to effectively manage multiple priorities and adapt to change within a fast-paced environment Must have a valid driver's license and be able to operate motorized vehicles Regular, reliable, consistent and punctual attendance is required Perform other duties and responsibilities as required to fulfill job function or as assigned Knowledge, Skills, and Abilities: Knowledge and experience in the engineering and/or construction of aerial, underground copper and fiber facilities Proficient in Microsoft Office Suite, ESRI GIS, Google Earth and CAD systems Demonstrate strong communications skills with the ability to perform field site meetings with developers, customers, local agencies, and internal team members Providing support and service through excellent interpersonal, written, and oral communication skills Demonstrating excellent listening skills and the ability to ask probing questions, and understand concerns to reach a mutually beneficial resolution Proficient in all aspects of aerial construction including span lengths, pole loading, anchoring, guying, and attachment heights Ability to become familiar with the plans and specifications, maps, and related material for each project and be able to utilize the information appropriately Ability to work independently, provide leadership, mentor and direct others on projects Demonstrate the ability to accept responsibility for and work under occasional stressful situations with frequent interruptions Demonstrate desire to learn new skills as technologies change Education and Experience: Associate degree in telecommunications, drafting technology or a related field Experience in fiber design and construction management including understanding of aerial, underground, OSP fiber and substructure design Knowledge of telephone industry standards, local telecom practices and procedures, local city state and governmental rules and regulations Experience with OSP database applications PHYSICAL REQUIREMENTS 0-24% 25-49% 50-74% 75-100% Seeing: Must be able to read computer screen and various reports. Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus. 75-100%
Safe-Guard Products International LLC
Atlanta, Georgia
Job Description Job Description Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. Job Title: Sr. Full Stack Software Engineer- Angular/Typescript (hybrid- onsite Monday- Thursday) Location: US-GA-Atlanta (Sandy Springs) FLSA : Exempt Job Overview : As a Senior Software Engineer at Safe-Guard, you will design and build the applications that our clients rely on every day. You will be the senior hands-on technical contributor across both front-end and back-end platforms, working at every stage from design through delivery. Your priorities will be protecting data integrity, delivering reliable platform experiences, and building durable solutions that keep pace with evolving client needs. Job Responsibilities: Design and build features for Safe-Guard's Angular-based applications, serving as the senior hands-on technical contributor Own the release process: execute deployments, assess technical readiness, and advise on the release schedule Maintain and enhance backend APIs, and partner with teams that consume the APIs or downstream data Work with product, QA, and other cross-functional partners to define and deliver new features and integrations Review code from junior developers, giving constructive feedback that raises code quality and reinforces best practices Triage incoming bugs and security findings, assess severity, and recommend priorities in partnership with the engineering manager Monitor application performance and resolve technical issues across the full stack Provide effort estimates and technical input for sprint and roadmap planning, and participate in agile ceremonies Drive the upgrade roadmap by identifying framework, package, and dependency updates and recommending priorities Become the subject-matter expert on assigned systems and workflows, and mentor teammates on them The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities. Job Requirements: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience 5+ years of professional experience in software development Strong proficiency in Angular and Typescript, with experience developing complex, high-performance applications Experience with relational databases (i.e. SQL, PostgreSQL) Solid understanding of both front-end and back-end development, including how the two fit together Experience designing and consuming RESTful APIs, including integrations with third-party services and downstream data consumers Working knowledge of software design patterns and data structures, with the ability to contribute to scalable application and database architecture Ability to take technical work from design through delivery, partnering with technical leadership on planning and architectural decisions Strong problem-solving skills, with the ability to think critically and creatively Clear communicator who collaborates well with both technical and non-technical stakeholders Self-motivated and adaptable, with a pragmatic approach to the software development lifecycle Must be authorized to work in the U.S. Must be able to successfully pass a background check Preferred Requirements: Experience with caching optimizations and event-driven architecture Familiarity with CI/CD pipelines and DevOps practices Knowledge of containerization technologies like Docker, ECR, and ECS Competency in AWS services, including but not limited to ECS, S3, RDS, Lambda and CloudFront Background in payment processing, transactional systems, or other financial software Experience with AI engineering and processes Company Benefits: Medical, Dental, and Vision Insurance Flexible Spending Account Health Savings Account 401(k) Plan with Company Match Company-paid Short-Term and Long-Term Disability Company-paid Life Insurance Paid Holidays and Vacation Employee Referral Program Employee Assistance Program Wellness Programs Paid Community Service Opportunities Tuition Reimbursement Ongoing Training & Personal Development And More! About Safe-Guard Products International: Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard's success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada. For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service. Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.
11/12/2026
Full time
Job Description Job Description Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. Job Title: Sr. Full Stack Software Engineer- Angular/Typescript (hybrid- onsite Monday- Thursday) Location: US-GA-Atlanta (Sandy Springs) FLSA : Exempt Job Overview : As a Senior Software Engineer at Safe-Guard, you will design and build the applications that our clients rely on every day. You will be the senior hands-on technical contributor across both front-end and back-end platforms, working at every stage from design through delivery. Your priorities will be protecting data integrity, delivering reliable platform experiences, and building durable solutions that keep pace with evolving client needs. Job Responsibilities: Design and build features for Safe-Guard's Angular-based applications, serving as the senior hands-on technical contributor Own the release process: execute deployments, assess technical readiness, and advise on the release schedule Maintain and enhance backend APIs, and partner with teams that consume the APIs or downstream data Work with product, QA, and other cross-functional partners to define and deliver new features and integrations Review code from junior developers, giving constructive feedback that raises code quality and reinforces best practices Triage incoming bugs and security findings, assess severity, and recommend priorities in partnership with the engineering manager Monitor application performance and resolve technical issues across the full stack Provide effort estimates and technical input for sprint and roadmap planning, and participate in agile ceremonies Drive the upgrade roadmap by identifying framework, package, and dependency updates and recommending priorities Become the subject-matter expert on assigned systems and workflows, and mentor teammates on them The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities. Job Requirements: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience 5+ years of professional experience in software development Strong proficiency in Angular and Typescript, with experience developing complex, high-performance applications Experience with relational databases (i.e. SQL, PostgreSQL) Solid understanding of both front-end and back-end development, including how the two fit together Experience designing and consuming RESTful APIs, including integrations with third-party services and downstream data consumers Working knowledge of software design patterns and data structures, with the ability to contribute to scalable application and database architecture Ability to take technical work from design through delivery, partnering with technical leadership on planning and architectural decisions Strong problem-solving skills, with the ability to think critically and creatively Clear communicator who collaborates well with both technical and non-technical stakeholders Self-motivated and adaptable, with a pragmatic approach to the software development lifecycle Must be authorized to work in the U.S. Must be able to successfully pass a background check Preferred Requirements: Experience with caching optimizations and event-driven architecture Familiarity with CI/CD pipelines and DevOps practices Knowledge of containerization technologies like Docker, ECR, and ECS Competency in AWS services, including but not limited to ECS, S3, RDS, Lambda and CloudFront Background in payment processing, transactional systems, or other financial software Experience with AI engineering and processes Company Benefits: Medical, Dental, and Vision Insurance Flexible Spending Account Health Savings Account 401(k) Plan with Company Match Company-paid Short-Term and Long-Term Disability Company-paid Life Insurance Paid Holidays and Vacation Employee Referral Program Employee Assistance Program Wellness Programs Paid Community Service Opportunities Tuition Reimbursement Ongoing Training & Personal Development And More! About Safe-Guard Products International: Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard's success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada. For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service. Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
11/12/2026
Full time
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
11/12/2026
Full time
Job Description About the role DataAnnotation is looking for experienced drug discovery scientists to evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy, candidate selection. You bring the judgment you have built moving programs from target to IND. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary, or a target validation review, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic drug discovery tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the workbook, memo, or slide deck) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right compounds advanced, the right liabilities flagged and the right calculations, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: misread assay data, SAR conclusions the data do not support, PK parameters misinterpreted, ignored or fabricated files, unit and scaling errors, missed safety liabilities, and off brief interpretation of the ask. Contribute across drug discovery and target biology, DMPK and preclinical safety, translational and biomarker science, biologics and advanced modalities, and CMC and process development, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on in a discovery or preclinical setting (pharma, biotech, or an academic drug discovery unit). Depth of experience in at least one of: medicinal chemistry and SAR or lead optimization; computational chemistry and CADD; assay development and screening; DMPK, PK/PD, or ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC, formulation, or analytical development. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a medicinal chemist who also understands how a screening cascade is built and how DMPK data feeds a lead optimization decision), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. Familiarity with drug discovery workflows end to end: how a program moves from target identification and validation, through hit finding and hit to lead, into lead optimization and candidate selection, and on into IND enabling studies. Nice to have: experience across more than one modality (small molecule, biologics, cell or gene therapy) or more than one therapeutic area. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, and toxicology. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.
