Southwest Research Institute - Students
San Antonio, Texas
GRADUATE STUDENT-R&D - STUDENT ANALYST - Space Data Systems 15-01710 Who We Are: Space Data Systems is a CMMI-DEV V2.0 ML2/CL2 appraised high-performance software engineering team that empowers exploration by creating capable, sustainable software using proven technologies and effective software engineering processes in a people-focused work environment. Objectives of this Role: Work with small teams to develop, test, and deploy Java web applications to support a variety of NASA/ESA space missions. Department web applications support space missions by providing tools for planning mission activities, instrument telemetry data management, spaceflight operations tools, and space manufacturing support. Local year-round undergraduate Senior or Graduate student position. Daily and Monthly Responsibilities: Assist with the development and testing of new software functions in Java. Work with a team to create and improve existing web applications with Spring, JavaScript, jQuery, AJAX, and CSS. Write SQL to work with MariaDB and other databases. Collaborate with scientists and engineers to plan new features and review products in development. Requirements: Must be pursuing a Bachelors or a Masters degree in Computer Science. Undergraduate students must be rising seniors. 0 years: Academic or project-based experience with Java or either C++, C#, Groovy, or Scala and willingness to learn Java is required. Industry internship experience with Spring, JavaScript, jQuery, AJAX, JSP, Servlet, or SQL (Oracle or MySQL) is a plus. A valid/clear driver's license is required. Special Requirements: Must be a U.S. person (i.e., U.S. citizen, non-U.S. citizen national, lawful permanent resident, asylee, or refugee) due to ITAR work in section. Job Locations: San Antonio, Texas For more information about this division, visit the Space Science home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top
10/27/2026
Full time
GRADUATE STUDENT-R&D - STUDENT ANALYST - Space Data Systems 15-01710 Who We Are: Space Data Systems is a CMMI-DEV V2.0 ML2/CL2 appraised high-performance software engineering team that empowers exploration by creating capable, sustainable software using proven technologies and effective software engineering processes in a people-focused work environment. Objectives of this Role: Work with small teams to develop, test, and deploy Java web applications to support a variety of NASA/ESA space missions. Department web applications support space missions by providing tools for planning mission activities, instrument telemetry data management, spaceflight operations tools, and space manufacturing support. Local year-round undergraduate Senior or Graduate student position. Daily and Monthly Responsibilities: Assist with the development and testing of new software functions in Java. Work with a team to create and improve existing web applications with Spring, JavaScript, jQuery, AJAX, and CSS. Write SQL to work with MariaDB and other databases. Collaborate with scientists and engineers to plan new features and review products in development. Requirements: Must be pursuing a Bachelors or a Masters degree in Computer Science. Undergraduate students must be rising seniors. 0 years: Academic or project-based experience with Java or either C++, C#, Groovy, or Scala and willingness to learn Java is required. Industry internship experience with Spring, JavaScript, jQuery, AJAX, JSP, Servlet, or SQL (Oracle or MySQL) is a plus. A valid/clear driver's license is required. Special Requirements: Must be a U.S. person (i.e., U.S. citizen, non-U.S. citizen national, lawful permanent resident, asylee, or refugee) due to ITAR work in section. Job Locations: San Antonio, Texas For more information about this division, visit the Space Science home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top
AI/Generative AI Tech Lead - Python, LLM & RAG Position Overview Build and take AI and Generative AI solutions from prototype through production, applying Large Language Models, RAG, machine learning, and cloud technologies to real-world business problems. This Tech Lead role combines hands-on AI engineering with technical leadership, working alongside engineers, architects, data scientists, and business teams to develop scalable AI applications and integrate AI capabilities into enterprise platforms. What You'll Do Develop and implement AI/ML solutions. Build Generative AI applications using Large Language Models (LLMs), including Kiro or Claude. Develop RAG-based applications using document processing, embeddings, vector databases, and semantic search. Integrate LLMs such as OpenAI and AWS Bedrock or equivalent platforms. Develop AI-powered chatbots, virtual assistants, document summarization, classification, extraction, and knowledge-management solutions. Implement prompt engineering techniques and evaluate LLM responses for accuracy, relevance, and reliability. Build and integrate REST APIs and microservices to expose AI capabilities to enterprise applications. Work with structured and unstructured data and develop data-preparation and processing pipelines. Implement AI solutions using cloud services on AWS. Collaborate with senior engineers and architects to develop scalable and production-ready solutions. Participate in proof-of-concepts and rapidly evaluate emerging AI technologies. Develop unit tests, integration tests, and automated validation for AI applications. Monitor AI applications and troubleshoot performance, accuracy, and production issues. Follow enterprise standards for security, data privacy, responsible AI, and application development. Contribute to technical documentation, solution design, and knowledge-sharing activities. Manage a team of offshore AI Engineers. Required Qualifications 6-8 years of experience in software engineering, AI/ML, data science, or a related technology field. Experience with Machine Learning and/or Generative AI applications. Practical experience working with LLMs and prompt engineering, specifically Claude and Kiro. Experience building RAG applications using embeddings and vector search. Experience working with REST APIs and microservices. Familiarity with Git and CI/CD practices. Good understanding of software development lifecycle and Agile methodologies. Strong problem-solving and communication skills. Preferred Qualifications 2+ years of hands-on experience with AI/ML or Generative AI, including leading a team. Knowledge of AI agents and agentic workflows. Experience with Docker and Kubernetes. Familiarity with MLOps/LLMOps concepts. Experience with AI evaluation, guardrails, and responsible AI. Experience working with enterprise data or regulated industries such as banking, financial services, or insurance. Experience with technologies in the stated stack, including Python, SQL, NLP, PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph, vector databases, document stores, and CI/CD. Experience with LLM platforms such as Azure OpenAI, OpenAI, AWS Bedrock, or Google Vertex AI. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
10/27/2026
Full time
AI/Generative AI Tech Lead - Python, LLM & RAG Position Overview Build and take AI and Generative AI solutions from prototype through production, applying Large Language Models, RAG, machine learning, and cloud technologies to real-world business problems. This Tech Lead role combines hands-on AI engineering with technical leadership, working alongside engineers, architects, data scientists, and business teams to develop scalable AI applications and integrate AI capabilities into enterprise platforms. What You'll Do Develop and implement AI/ML solutions. Build Generative AI applications using Large Language Models (LLMs), including Kiro or Claude. Develop RAG-based applications using document processing, embeddings, vector databases, and semantic search. Integrate LLMs such as OpenAI and AWS Bedrock or equivalent platforms. Develop AI-powered chatbots, virtual assistants, document summarization, classification, extraction, and knowledge-management solutions. Implement prompt engineering techniques and evaluate LLM responses for accuracy, relevance, and reliability. Build and integrate REST APIs and microservices to expose AI capabilities to enterprise applications. Work with structured and unstructured data and develop data-preparation and processing pipelines. Implement AI solutions using cloud services on AWS. Collaborate with senior engineers and architects to develop scalable and production-ready solutions. Participate in proof-of-concepts and rapidly evaluate emerging AI technologies. Develop unit tests, integration tests, and automated validation for AI applications. Monitor AI applications and troubleshoot performance, accuracy, and production issues. Follow enterprise standards for security, data privacy, responsible AI, and application development. Contribute to technical documentation, solution design, and knowledge-sharing activities. Manage a team of offshore AI Engineers. Required Qualifications 6-8 years of experience in software engineering, AI/ML, data science, or a related technology field. Experience with Machine Learning and/or Generative AI applications. Practical experience working with LLMs and prompt engineering, specifically Claude and Kiro. Experience building RAG applications using embeddings and vector search. Experience working with REST APIs and microservices. Familiarity with Git and CI/CD practices. Good understanding of software development lifecycle and Agile methodologies. Strong problem-solving and communication skills. Preferred Qualifications 2+ years of hands-on experience with AI/ML or Generative AI, including leading a team. Knowledge of AI agents and agentic workflows. Experience with Docker and Kubernetes. Familiarity with MLOps/LLMOps concepts. Experience with AI evaluation, guardrails, and responsible AI. Experience working with enterprise data or regulated industries such as banking, financial services, or insurance. Experience with technologies in the stated stack, including Python, SQL, NLP, PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph, vector databases, document stores, and CI/CD. Experience with LLM platforms such as Azure OpenAI, OpenAI, AWS Bedrock, or Google Vertex AI. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
NORC at the University of Chicago
Washington, Washington DC
JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Senior Data Scientist II to join the Statistics and Data Science Department to provide day-to-day program management, technical, and data governance expertise to a large-scale federal data access and record linkage program supporting NIH-funded researchers. This role provides leadership, coordination, and oversight for the delivery of secure data linkage services involving CMS and other federal datasets within a multi-contractor, multi-cloud environment. The role involves partnering closely with technical staff, federal sponsors, external platform providers, and collaborating contractors to monitor progress against project milestones, resolve challenges, and ensure successful execution of data linkage activities, secure data provisioning, regulatory compliance, project reporting, and stakeholder engagement. This position combines program leadership with substantive expertise in CMS data, record linkage methodologies, federal data governance, and data security. The successful candidate will coordinate activities across multiple functional teams responsible for data linkage, cloud platform operations, data use agreements, training and community engagement, output disclosure review, and data stewardship. The person in this role will serve as a key point of contact for government stakeholders and help ensure that project milestones, quality standards, security requirements, and client expectations are consistently met. The Senior Data Scientist II hired into this role will also have opportunities to work on other projects and leverage their expertise in other key domains, such as data integration, AI/ML, scientific computing, survey statistics, business development, and collaborative research. Generally, this position supports the development of the strategy and vision for large data analysis projects and may involve managing both the activities and the work product of data analysts and/or data scientists. Location: Hybrid role based in either our Chicago Loop or Washington, DC office, with a minimum of six days per month in the office. Highly qualified remote candidates will be considered. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Statistics and Data Science (SDS) The Statistics and Data Science (SDS) department provides the scientific foundation required to advance NORC's project portfolio. SDS delivers rigorous, innovative, and fit-for-purpose solutions along the project lifecycle. The department provides leadership for NORC's approach on a broad range of approaches for study design and the analysis of primary and secondary data. SDS expertise includes artificial intelligence and machine learning; data integration; disclosure avoidance; imputation; data linkage and statistical matching for combining multiple data sources; data quality assessment; efficient and reproducible workflow development; privacy-preserving methods; record linkage; small area estimation; statistical methods for survey sampling, weighting, estimation, and inference; and visualization. The SDS department works closely with teams in NORC's Health and Social, Economic, and Global Research divisions, Digital Services and Solutions group, and operational teams across NORC to ensure that statistical excellence and innovation remain central to the organization's work. Many of NORC's projects and proposals are led by substantive research departments that require significant contributions from SDS staff. SDS works closely with highly collaborative groups across the organization to ensure success through cross-departmental partnerships. To further capture the innovative spirit of NORC, SDS also leads projects that target departmental focus areas. Examples of recent project topics involving SDS staff include survey sampling redesign; AI for enhancing data quality, standardization, and integration; enhancing traffic safety data; linkage of healthcare data including claims and other administrative data and surveys; and testing data visualization approaches for effective communication. SDS is composed of a geographically distributed team of over 60 professionals located across NORC offices and remote locations throughout the United States and who are engaged in an array of activities, including research and statistical operations for client projects across NORC's portfolio, strategic research projects on emerging topics, and business development. RESPONSIBILITIES: Lead day-to-day management of a key component of a secure health data access and management program. Oversee project planning, staffing, schedules, deliverables, budgets, and performance to ensure successful contract execution. Serve as a primary liaison with client, external partners and providers. Manage cross-contractor dependencies, risks, issues, and decision points, proactively identifying barriers to milestone completion and coordinating resolution across technical, operational, and governance team. Provide technical and programmatic oversight of the data and technology environments supporting the program, including secure cloud platforms, data systems, applications, access controls, and associated operational workflows. Coordinate delivery of record linkage services, linked data products, and researcher support activities across multiple contractors and stakeholder groups. Ensure compliance with federal requirements and standards related to data security, privacy, governance, and management of sensitive federal datasets. Support establishment and maintenance of standard operating procedures, process documentation, and program reporting. Apply knowledge of CMS data, data linkage methodologies, and federal data management practices to support program objectives. Prepare and deliver presentations, status briefings, and written communications for federal sponsors and senior organizational leadership. Recommend methodology for data management, merging, cleaning, transforming and harmonizing data. Contributing to and reviewing code, datafiles, reports, presentations, and other deliverables. Engage in business development activities including authoring various sections of the technical proposal. Train and supervise staff on specific protocols and tasks. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree or higher in bioinformatics, information systems, computer science, statistics, data science, health services research, economics, public health, or a related field. At least 9 years of experience (at least 12 years of experience if Bachelor's degree) in positions of increasing responsibility, working with large datasets and conducting statistical modeling and analytic programming. Leadership experience adhering to service level agreements and tight deadlines on technically challenging tasks in fast moving projects in consulting, government contracting or a similar setting. Experience managing teams of statisticians, data scientists, and deep subject matter experts. Experience managing advanced technical work in cloud-based environments require extensive engagement and coordination with platform contractors and CSPs. Experience in client communications and relationship management. Demonstrated experience with managing or implementing data governance processes. Experience with data use agreements and data protection protocols such as statistical disclosure review preferred. Proficiency with SAS, SQL, R, and/or Python, and experience working in modern cloud, data warehouse or data lake environments. Working knowledge of the methodologies and technologies for integrating data, including probabilistic record linkage and privacy preserving record linkage. Demonstrated experience working with Medicare and/or Medicaid administrative or claims data. Preferred: Experience supporting large-scale federal research data access programs, secure research environments, or programs involving controlled access to sensitive health or administrative data. Strong communication skills, including verbal and written communication. Occasional travel to sites and business meetings. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $160,000 - $185,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. This role is bonus eligible. Bonus payment is contingent upon program terms and individual performance. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies . click apply for full job details
10/27/2026
Full time
JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Senior Data Scientist II to join the Statistics and Data Science Department to provide day-to-day program management, technical, and data governance expertise to a large-scale federal data access and record linkage program supporting NIH-funded researchers. This role provides leadership, coordination, and oversight for the delivery of secure data linkage services involving CMS and other federal datasets within a multi-contractor, multi-cloud environment. The role involves partnering closely with technical staff, federal sponsors, external platform providers, and collaborating contractors to monitor progress against project milestones, resolve challenges, and ensure successful execution of data linkage activities, secure data provisioning, regulatory compliance, project reporting, and stakeholder engagement. This position combines program leadership with substantive expertise in CMS data, record linkage methodologies, federal data governance, and data security. The successful candidate will coordinate activities across multiple functional teams responsible for data linkage, cloud platform operations, data use agreements, training and community engagement, output disclosure review, and data stewardship. The person in this role will serve as a key point of contact for government stakeholders and help ensure that project milestones, quality standards, security requirements, and client expectations are consistently met. The Senior Data Scientist II hired into this role will also have opportunities to work on other projects and leverage their expertise in other key domains, such as data integration, AI/ML, scientific computing, survey statistics, business development, and collaborative research. Generally, this position supports the development of the strategy and vision for large data analysis projects and may involve managing both the activities and the work product of data analysts and/or data scientists. Location: Hybrid role based in either our Chicago Loop or Washington, DC office, with a minimum of six days per month in the office. Highly qualified remote candidates will be considered. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Statistics and Data Science (SDS) The Statistics and Data Science (SDS) department provides the scientific foundation required to advance NORC's project portfolio. SDS delivers rigorous, innovative, and fit-for-purpose solutions along the project lifecycle. The department provides leadership for NORC's approach on a broad range of approaches for study design and the analysis of primary and secondary data. SDS expertise includes artificial intelligence and machine learning; data integration; disclosure avoidance; imputation; data linkage and statistical matching for combining multiple data sources; data quality assessment; efficient and reproducible workflow development; privacy-preserving methods; record linkage; small area estimation; statistical methods for survey sampling, weighting, estimation, and inference; and visualization. The SDS department works closely with teams in NORC's Health and Social, Economic, and Global Research divisions, Digital Services and Solutions group, and operational teams across NORC to ensure that statistical excellence and innovation remain central to the organization's work. Many of NORC's projects and proposals are led by substantive research departments that require significant contributions from SDS staff. SDS works closely with highly collaborative groups across the organization to ensure success through cross-departmental partnerships. To further capture the innovative spirit of NORC, SDS also leads projects that target departmental focus areas. Examples of recent project topics involving SDS staff include survey sampling redesign; AI for enhancing data quality, standardization, and integration; enhancing traffic safety data; linkage of healthcare data including claims and other administrative data and surveys; and testing data visualization approaches for effective communication. SDS is composed of a geographically distributed team of over 60 professionals located across NORC offices and remote locations throughout the United States and who are engaged in an array of activities, including research and statistical operations for client projects across NORC's portfolio, strategic research projects on emerging topics, and business development. RESPONSIBILITIES: Lead day-to-day management of a key component of a secure health data access and management program. Oversee project planning, staffing, schedules, deliverables, budgets, and performance to ensure successful contract execution. Serve as a primary liaison with client, external partners and providers. Manage cross-contractor dependencies, risks, issues, and decision points, proactively identifying barriers to milestone completion and coordinating resolution across technical, operational, and governance team. Provide technical and programmatic oversight of the data and technology environments supporting the program, including secure cloud platforms, data systems, applications, access controls, and associated operational workflows. Coordinate delivery of record linkage services, linked data products, and researcher support activities across multiple contractors and stakeholder groups. Ensure compliance with federal requirements and standards related to data security, privacy, governance, and management of sensitive federal datasets. Support establishment and maintenance of standard operating procedures, process documentation, and program reporting. Apply knowledge of CMS data, data linkage methodologies, and federal data management practices to support program objectives. Prepare and deliver presentations, status briefings, and written communications for federal sponsors and senior organizational leadership. Recommend methodology for data management, merging, cleaning, transforming and harmonizing data. Contributing to and reviewing code, datafiles, reports, presentations, and other deliverables. Engage in business development activities including authoring various sections of the technical proposal. Train and supervise staff on specific protocols and tasks. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree or higher in bioinformatics, information systems, computer science, statistics, data science, health services research, economics, public health, or a related field. At least 9 years of experience (at least 12 years of experience if Bachelor's degree) in positions of increasing responsibility, working with large datasets and conducting statistical modeling and analytic programming. Leadership experience adhering to service level agreements and tight deadlines on technically challenging tasks in fast moving projects in consulting, government contracting or a similar setting. Experience managing teams of statisticians, data scientists, and deep subject matter experts. Experience managing advanced technical work in cloud-based environments require extensive engagement and coordination with platform contractors and CSPs. Experience in client communications and relationship management. Demonstrated experience with managing or implementing data governance processes. Experience with data use agreements and data protection protocols such as statistical disclosure review preferred. Proficiency with SAS, SQL, R, and/or Python, and experience working in modern cloud, data warehouse or data lake environments. Working knowledge of the methodologies and technologies for integrating data, including probabilistic record linkage and privacy preserving record linkage. Demonstrated experience working with Medicare and/or Medicaid administrative or claims data. Preferred: Experience supporting large-scale federal research data access programs, secure research environments, or programs involving controlled access to sensitive health or administrative data. Strong communication skills, including verbal and written communication. Occasional travel to sites and business meetings. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $160,000 - $185,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. This role is bonus eligible. Bonus payment is contingent upon program terms and individual performance. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies . click apply for full job details
Creative Global Consulting
Linthicum Heights, Maryland
Position Description: The Information Technology Architect (Senior) shall provide expertise in the most current principles and practices of architecture data management systems and experience in large system designs, and with data modeling in the information management arena. This individual provides expertise in modeling and organizing information to facilitate support of projects or information architectures. The individual also provides guidance on how and what to data and process model. The position primarily deals with transition planning from legacy to modern systems by concentrating on information flows, data exchange, and data translation standardization services. - Data Architecture Design: Develop and maintain a robust data architecture strategy for the AWS Cloud-based Lake House, encompassing data modeling, data storage, data processing, and data integration across various AWS services, such as S3, Glue, Athena, and Redshift. - Cloud Data Governance: Define and enforce data governance principles, standards, and best practices to ensure data quality, security, and compliance with relevant regulations. - Data Integration: Design and implement efficient data integration processes, enabling seamless data flow between diverse data sources and the data lake infrastructure. - Performance Optimization: Collaborate with data engineers and technical teams to optimize the performance and scalability of the data lake architecture, ensuring high availability and low latency for data access and processing. - Metadata Management: Implement metadata management solutions to enhance data discoverability, lineage, and cataloging within the data lake house. - Data Security: Develop and enforce security measures to protect sensitive data, adhering to industry best practices and AWS security standards. - Collaboration and Leadership: Work closely with cross-functional teams, including data analysts, data scientists, and data engineers, to understand their data requirements and provide technical guidance on data-related initiatives. - Data Architecture Documentation: Maintain comprehensive documentation of the data architecture, including architectural diagrams, design specifications, and data flow processes. - Technology Evaluation: Stay informed about the latest AWS services and data-related technologies, assessing their potential value and recommending their adoption as appropriate. - Continuous Improvement: Continuously evaluate the effectiveness of the data architecture, identifying opportunities for enhancement and driving improvements to meet evolving business needs. Education: - Bachelor's Degree from an accredited college or university with a major in Engineering, Computer Science, Mathematics or a related field. Master's degree preferred. General Experience: - At least ten (10) years of experience planning, designing, building, and implementing IT systems. - 10+ years of overall IT experience with 6+ years in solution architecture, system design, and data management. - Proven experience as a Data Architect, focusing on designing and implementing data solutions in AWS cloud environments. - Extensive knowledge of AWS cloud services, data lake architecture, and big data technologies. - Strong understanding of data modeling principles, governance, and security practices. Demonstrated expertise in designing data integration solutions and optimizing data processing performance. - Excellent analytical and problem-solving skills, with the ability to make data-driven decisions. -Leadership skills to guide and mentor junior data architects and collaborate with cross-functional teams. - AWS certifications, such as AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty, or AWS Certified Big Data - Specialty, are highly desirable. - Strong communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders. - Join our team as a Senior Data Architect and be at the forefront of architecting our AWS Cloud-based Lake House to enable data-driven innovation and business success. Specialized Experience: At least five (5) years of the required ten (10) years of experience must be in the direct supervision and management of major projects that involve providing professional support services and/or the integration, implementation and transition of large complex system and subsystem architectures. Must have led or been chief architect in major IT implementation efforts. Must demonstrate a broad understanding of client IT environmental issues and solutions and be a recognized expert within the IT industry. Must demonstrate advanced abilities to team and mentor and possess demonstrated excellence in written and verbal communication skills. - Key qualifications include strong project management skills, leadership abilities, effective communication, and the capacity to identify and resolve issues while adapting to changing circumstances. Significant experience collaborating with cross-functional teams, product owners, and stakeholders is essential - Preferred qualifications include a technical background and experience in data and AI/ML projects. Functional experience with local or government projects in Data Services (MDM/R360/EDMS), Child Support, Integrated Eligibility, Child Welfare, Adult Protective Services, Juvenile Justice, or Health and Human Services is also preferred
10/27/2026
Full time
Position Description: The Information Technology Architect (Senior) shall provide expertise in the most current principles and practices of architecture data management systems and experience in large system designs, and with data modeling in the information management arena. This individual provides expertise in modeling and organizing information to facilitate support of projects or information architectures. The individual also provides guidance on how and what to data and process model. The position primarily deals with transition planning from legacy to modern systems by concentrating on information flows, data exchange, and data translation standardization services. - Data Architecture Design: Develop and maintain a robust data architecture strategy for the AWS Cloud-based Lake House, encompassing data modeling, data storage, data processing, and data integration across various AWS services, such as S3, Glue, Athena, and Redshift. - Cloud Data Governance: Define and enforce data governance principles, standards, and best practices to ensure data quality, security, and compliance with relevant regulations. - Data Integration: Design and implement efficient data integration processes, enabling seamless data flow between diverse data sources and the data lake infrastructure. - Performance Optimization: Collaborate with data engineers and technical teams to optimize the performance and scalability of the data lake architecture, ensuring high availability and low latency for data access and processing. - Metadata Management: Implement metadata management solutions to enhance data discoverability, lineage, and cataloging within the data lake house. - Data Security: Develop and enforce security measures to protect sensitive data, adhering to industry best practices and AWS security standards. - Collaboration and Leadership: Work closely with cross-functional teams, including data analysts, data scientists, and data engineers, to understand their data requirements and provide technical guidance on data-related initiatives. - Data Architecture Documentation: Maintain comprehensive documentation of the data architecture, including architectural diagrams, design specifications, and data flow processes. - Technology Evaluation: Stay informed about the latest AWS services and data-related technologies, assessing their potential value and recommending their adoption as appropriate. - Continuous Improvement: Continuously evaluate the effectiveness of the data architecture, identifying opportunities for enhancement and driving improvements to meet evolving business needs. Education: - Bachelor's Degree from an accredited college or university with a major in Engineering, Computer Science, Mathematics or a related field. Master's degree preferred. General Experience: - At least ten (10) years of experience planning, designing, building, and implementing IT systems. - 10+ years of overall IT experience with 6+ years in solution architecture, system design, and data management. - Proven experience as a Data Architect, focusing on designing and implementing data solutions in AWS cloud environments. - Extensive knowledge of AWS cloud services, data lake architecture, and big data technologies. - Strong understanding of data modeling principles, governance, and security practices. Demonstrated expertise in designing data integration solutions and optimizing data processing performance. - Excellent analytical and problem-solving skills, with the ability to make data-driven decisions. -Leadership skills to guide and mentor junior data architects and collaborate with cross-functional teams. - AWS certifications, such as AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty, or AWS Certified Big Data - Specialty, are highly desirable. - Strong communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders. - Join our team as a Senior Data Architect and be at the forefront of architecting our AWS Cloud-based Lake House to enable data-driven innovation and business success. Specialized Experience: At least five (5) years of the required ten (10) years of experience must be in the direct supervision and management of major projects that involve providing professional support services and/or the integration, implementation and transition of large complex system and subsystem architectures. Must have led or been chief architect in major IT implementation efforts. Must demonstrate a broad understanding of client IT environmental issues and solutions and be a recognized expert within the IT industry. Must demonstrate advanced abilities to team and mentor and possess demonstrated excellence in written and verbal communication skills. - Key qualifications include strong project management skills, leadership abilities, effective communication, and the capacity to identify and resolve issues while adapting to changing circumstances. Significant experience collaborating with cross-functional teams, product owners, and stakeholders is essential - Preferred qualifications include a technical background and experience in data and AI/ML projects. Functional experience with local or government projects in Data Services (MDM/R360/EDMS), Child Support, Integrated Eligibility, Child Welfare, Adult Protective Services, Juvenile Justice, or Health and Human Services is also preferred
Job Title: Scrum Master Location: Lawrenceville, NJ - 50% onsite Duration: 12 months + potential to extend Pay Range: $65-75/hr (W2) Onsite/Hybrid: 50% onsite Work Hours: Monday-Friday, 8:00 a.m.-5:00 p.m. About TSR TSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivery highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond. In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants. Job Description We are seeking a Scrum Master to join our dynamic team within Commercial BI&T Digital Projects. The ideal candidate will have strong experience in Agile delivery for data and analytics programs and a proven ability to facilitate cross-functional teams to deliver high-quality, AI-ready data products and analytics pipelines. Project Description: Large-scale, multi-region Foundational Data Transformation program migrating fragmented commercial pharma data warehouses onto a governed Databricks platform. The program consolidates enterprise data sources (sales, market access, patient services, omni-channel, and master data) into standardized, AI-ready data products across US, EU, and other global markets, and rebuilds existing analytics pipelines to new data modeling standards. Responsibilities: Facilitate Scrum ceremonies including daily stand-ups, sprint planning, sprint reviews, and retrospectives. Guide sprint planning, define sprint goals, and support estimation and task planning. Partner with the Product Owner to groom, prioritize, and maintain a ready product backlog. Coach team members on Agile principles and Scrum practices to improve delivery discipline. Proactively remove impediments and escalate risks to maintain flow. Foster a collaborative environment with open communication, trust, and respect. Coordinate cross-functionally with data scientists, ML engineers, software developers, and stakeholders to align dependencies and integrations. Maintain transparent stakeholder communication on status, risks, issues, and decisions. Lead retrospectives and implement actionable improvements for continuous improvement. Continuously assess and optimize Agile processes to increase efficiency and effectiveness. Track and report Agile metrics and KPIs to measure team performance and throughput. Prepare and present progress reports to stakeholders and senior management. Identify delivery risks and issues and drive mitigation and resolution. Required Skills & Qualifications: Technical or data-focused background with substantial experience as a Scrum Master delivering data and analytics initiatives. Proven success leading Agile teams in complex, multi-region programs and platform migrations, preferably on Databricks or similar cloud data platforms. Strong knowledge of Agile frameworks such as Scrum and Kanban and related best practices. Excellent leadership, communication, and interpersonal skills for team and stakeholder engagement. Strong analytical and problem-solving skills for risk assessment and issue resolution. Effective facilitation skills for meetings, workshops, and decision-making. Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Master's degree or certifications such as CSM or PMI-ACP preferred. Pharma GxP software development experience preferred. Preferred Skills: Experience with Databricks, lakehouse architectures, and modern data modeling standards. Prior work in Agile settings supporting data science, machine learning engineering, and analytics engineering teams. Competencies: Adaptability to changing priorities and requirements. Collaboration across cross-functional and global teams. Attention to detail to maintain quality standards in deliverables. Commitment to continuous improvement of Agile practices and processes. Working Conditions: Office-based role with hybrid work, including potential remote work and occasional travel to other locations. Ability to work in a standard office environment using a computer and office equipment. Why TSR? At TSR, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment TSR is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
10/27/2026
Full time
Job Title: Scrum Master Location: Lawrenceville, NJ - 50% onsite Duration: 12 months + potential to extend Pay Range: $65-75/hr (W2) Onsite/Hybrid: 50% onsite Work Hours: Monday-Friday, 8:00 a.m.-5:00 p.m. About TSR TSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivery highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond. In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants. Job Description We are seeking a Scrum Master to join our dynamic team within Commercial BI&T Digital Projects. The ideal candidate will have strong experience in Agile delivery for data and analytics programs and a proven ability to facilitate cross-functional teams to deliver high-quality, AI-ready data products and analytics pipelines. Project Description: Large-scale, multi-region Foundational Data Transformation program migrating fragmented commercial pharma data warehouses onto a governed Databricks platform. The program consolidates enterprise data sources (sales, market access, patient services, omni-channel, and master data) into standardized, AI-ready data products across US, EU, and other global markets, and rebuilds existing analytics pipelines to new data modeling standards. Responsibilities: Facilitate Scrum ceremonies including daily stand-ups, sprint planning, sprint reviews, and retrospectives. Guide sprint planning, define sprint goals, and support estimation and task planning. Partner with the Product Owner to groom, prioritize, and maintain a ready product backlog. Coach team members on Agile principles and Scrum practices to improve delivery discipline. Proactively remove impediments and escalate risks to maintain flow. Foster a collaborative environment with open communication, trust, and respect. Coordinate cross-functionally with data scientists, ML engineers, software developers, and stakeholders to align dependencies and integrations. Maintain transparent stakeholder communication on status, risks, issues, and decisions. Lead retrospectives and implement actionable improvements for continuous improvement. Continuously assess and optimize Agile processes to increase efficiency and effectiveness. Track and report Agile metrics and KPIs to measure team performance and throughput. Prepare and present progress reports to stakeholders and senior management. Identify delivery risks and issues and drive mitigation and resolution. Required Skills & Qualifications: Technical or data-focused background with substantial experience as a Scrum Master delivering data and analytics initiatives. Proven success leading Agile teams in complex, multi-region programs and platform migrations, preferably on Databricks or similar cloud data platforms. Strong knowledge of Agile frameworks such as Scrum and Kanban and related best practices. Excellent leadership, communication, and interpersonal skills for team and stakeholder engagement. Strong analytical and problem-solving skills for risk assessment and issue resolution. Effective facilitation skills for meetings, workshops, and decision-making. Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Master's degree or certifications such as CSM or PMI-ACP preferred. Pharma GxP software development experience preferred. Preferred Skills: Experience with Databricks, lakehouse architectures, and modern data modeling standards. Prior work in Agile settings supporting data science, machine learning engineering, and analytics engineering teams. Competencies: Adaptability to changing priorities and requirements. Collaboration across cross-functional and global teams. Attention to detail to maintain quality standards in deliverables. Commitment to continuous improvement of Agile practices and processes. Working Conditions: Office-based role with hybrid work, including potential remote work and occasional travel to other locations. Ability to work in a standard office environment using a computer and office equipment. Why TSR? At TSR, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment TSR is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers. We set and achieve bold ambitions in our fight against the world's most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come. As a Manager, U.S. Medical Affairs, Liver Strategy at Gilead you will report to the Executive Director, Head USMA Liver Group and will support the development, management, and execution of U.S. Medical Affairs liver strategy in PBC, HDV, and across the portfolio. The Manager will play a critical role in translating USMA Liver strategy into high-quality, scientifically rigorous, compliant, and field-ready medical materials, digital resources, conference/symposium deliverables, and cross-functional planning initiatives. This individual will support across-portfolio content creation and lifecycle management through Medical Review Committee (MRC), help manage digital and AI-enabled medical platforms, and contribute to congress, conference, and symposium strategy and execution. The ideal candidate is scientifically minded, creative, highly organized, and able to manage multiple priorities in a fast-paced, matrixed environment. This person should have strong Medical Affairs content experience, outstanding written and verbal communication skills, and the ability to work collaboratively across USMA Liver, Field Medical, Global Medical Affairs (GMA), Medical Information, Legal, Compliance, Commercial, Training, Operations, and external agency partners. This role is based in Foster City, California. Essential Duties and Responsibilities: Support the development and execution of USMA Liver strategy across key liver disease priorities, including PBC, HDV, other viral hepatitis, and emerging portfolio needs. Work in close partnership with more senior team members on USMA Liver strategy and translation of strategy to content Serve as a key content and scientific contributor for USMA Liver, helping translate complex clinical, real-world, guideline, and congress data into clear, balanced, compliant medical communications. Lead or support creation, revision, review, approval, deployment, and lifecycle management of USMA Liver medical materials, including scientific slide decks, field-facing resources, FAQs, training materials, advisory board content, congress summaries, symposia materials, and digital medical education assets. Manage content through the U.S. Medical Review Committee (MRC) process, including preparation of submissions, coordination of reviewer feedback, version control, incorporation of comments, and driving materials to timely approval. Ensure medical content is scientifically accurate, balanced, strategically aligned, appropriately referenced, compliant, and consistent with USMA Liver priorities and the needs of field-based Medical Scientists and other stakeholders. Support pull-through and appropriate adaptation of Global Medical Affairs content for U.S. use, while helping develop original U.S.-specific liver medical materials when needed. Partner closely with Field Medical leadership and Medical Scientists to ensure resources are field-ready, practical, impactful, and aligned to priority HCP and KOL audiences. Lead and support digital medical content and platform initiatives for USMA Liver, including digital journeys, medical websites, email campaigns, Veeva CLM/MedDocs or related platforms, and other non-personal engagement channels. Contribute to USMA Liver digital and AI-enabled innovation efforts, including identification, evaluation, and implementation of compliant use cases that may improve medical content quality, insight generation, HCP education, or operational efficiency. Support conference, congress, and symposium strategy and execution, including planning, internal preparation, content development, session coverage strategy, insight capture, post-congress summaries, encore planning, and cross-functional coordination. Work collaboratively with USMA Liver colleagues, GMA, Medical Information, Medical Communications, Commercial, Clinical Development, Legal, Regulatory, Compliance/Business Conduct, Training, Operations, and agency partners to ensure aligned and compliant execution. Manages external vendor partnerships supporting USMA initiatives, including scope development, budget oversight, contract execution, timeline management and delivery of high-quality projects that advance strategic objectives. Help establish and maintain strong content management practices, including clear intake processes, workback plans, editorial standards, templates, reference standards, version control, and asset inventory management. Monitor emerging data, publications, guidelines, congress updates, and external scientific trends to identify implications for USMA Liver content, strategy, and stakeholder education. Support U.S. Medical Affairs publication strategy and execution, including coordination of abstracts, posters, presentations, manuscripts, publication planning activities, and dissemination of scientific data. Lead or support planning, development, review, approval, and execution of congress encore presentations, including cross-functional coordination, content adaptation, vendor management, and dissemination strategy consistent with Medical Affairs objectives and compliance requirements. Support scientific narrative development and continuous refinement of liver medical messages, ensuring clarity, consistency, and alignment across materials and channels. Help coordinate training, launch, distribution, and adoption of approved medical resources across field medical, digital platforms, and relevant cross-functional teams. Manage multiple projects, vendors, timelines, and stakeholders simultaneously with strong prioritization, attention to detail, and proactive risk escalation. Uphold Gilead core values and ensure all activities comply with applicable laws, regulations, and internal policies. Requirements: Education: Bachelors (in life sciences, health-related, or scientific area) and 6+ years of relevant experience required OR Masters (in life sciences, health-related, or scientific area) and 4+ years of relevant experience required OR PhD (in life sciences, health-related, or scientific area) and 0+ years of relevant experience required Experience: Scientific, clinical, Medical Affairs, Medical Communications, Clinical Development, or related biopharmaceutical experience Pharmaceutical or biotechnology industry experience, particularly within Medical Affairs, Medical Communications, Clinical Development, Medical Information, or related functions Experience developing, revising, reviewing, and managing Medical Affairs content, including slide decks, scientific narratives, educational resources, infographics, videos, digital assets, or congress materials Experience with digital medical content, digital engagement platforms, medical websites, CLM/MedDocs, Veeva or related systems, AI-enabled tools, or innovative HCP education channels Strong scientific acumen and ability to interpret clinical data, publications, guidelines, real-world evidence, and complex scientific issues. Excellent written, verbal, visual, and interpersonal communication skills; able to translate complex science into clear, concise, balanced, and actionable materials for internal and external scientific audiences. Demonstrated creativity and problem-solving ability, with capacity to generate practical solutions in a dynamic and evolving Medical Affairs environment. Strong project management skills, including ability to manage multiple workstreams, vendors, timelines, review cycles, and deliverables simultaneously. Track record of effectively sharing work across multiple complex projects Highly organized, detail-oriented, and able to anticipate needs, prioritize workload, manage ambiguity . click apply for full job details
10/27/2026
Full time
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers. We set and achieve bold ambitions in our fight against the world's most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come. As a Manager, U.S. Medical Affairs, Liver Strategy at Gilead you will report to the Executive Director, Head USMA Liver Group and will support the development, management, and execution of U.S. Medical Affairs liver strategy in PBC, HDV, and across the portfolio. The Manager will play a critical role in translating USMA Liver strategy into high-quality, scientifically rigorous, compliant, and field-ready medical materials, digital resources, conference/symposium deliverables, and cross-functional planning initiatives. This individual will support across-portfolio content creation and lifecycle management through Medical Review Committee (MRC), help manage digital and AI-enabled medical platforms, and contribute to congress, conference, and symposium strategy and execution. The ideal candidate is scientifically minded, creative, highly organized, and able to manage multiple priorities in a fast-paced, matrixed environment. This person should have strong Medical Affairs content experience, outstanding written and verbal communication skills, and the ability to work collaboratively across USMA Liver, Field Medical, Global Medical Affairs (GMA), Medical Information, Legal, Compliance, Commercial, Training, Operations, and external agency partners. This role is based in Foster City, California. Essential Duties and Responsibilities: Support the development and execution of USMA Liver strategy across key liver disease priorities, including PBC, HDV, other viral hepatitis, and emerging portfolio needs. Work in close partnership with more senior team members on USMA Liver strategy and translation of strategy to content Serve as a key content and scientific contributor for USMA Liver, helping translate complex clinical, real-world, guideline, and congress data into clear, balanced, compliant medical communications. Lead or support creation, revision, review, approval, deployment, and lifecycle management of USMA Liver medical materials, including scientific slide decks, field-facing resources, FAQs, training materials, advisory board content, congress summaries, symposia materials, and digital medical education assets. Manage content through the U.S. Medical Review Committee (MRC) process, including preparation of submissions, coordination of reviewer feedback, version control, incorporation of comments, and driving materials to timely approval. Ensure medical content is scientifically accurate, balanced, strategically aligned, appropriately referenced, compliant, and consistent with USMA Liver priorities and the needs of field-based Medical Scientists and other stakeholders. Support pull-through and appropriate adaptation of Global Medical Affairs content for U.S. use, while helping develop original U.S.-specific liver medical materials when needed. Partner closely with Field Medical leadership and Medical Scientists to ensure resources are field-ready, practical, impactful, and aligned to priority HCP and KOL audiences. Lead and support digital medical content and platform initiatives for USMA Liver, including digital journeys, medical websites, email campaigns, Veeva CLM/MedDocs or related platforms, and other non-personal engagement channels. Contribute to USMA Liver digital and AI-enabled innovation efforts, including identification, evaluation, and implementation of compliant use cases that may improve medical content quality, insight generation, HCP education, or operational efficiency. Support conference, congress, and symposium strategy and execution, including planning, internal preparation, content development, session coverage strategy, insight capture, post-congress summaries, encore planning, and cross-functional coordination. Work collaboratively with USMA Liver colleagues, GMA, Medical Information, Medical Communications, Commercial, Clinical Development, Legal, Regulatory, Compliance/Business Conduct, Training, Operations, and agency partners to ensure aligned and compliant execution. Manages external vendor partnerships supporting USMA initiatives, including scope development, budget oversight, contract execution, timeline management and delivery of high-quality projects that advance strategic objectives. Help establish and maintain strong content management practices, including clear intake processes, workback plans, editorial standards, templates, reference standards, version control, and asset inventory management. Monitor emerging data, publications, guidelines, congress updates, and external scientific trends to identify implications for USMA Liver content, strategy, and stakeholder education. Support U.S. Medical Affairs publication strategy and execution, including coordination of abstracts, posters, presentations, manuscripts, publication planning activities, and dissemination of scientific data. Lead or support planning, development, review, approval, and execution of congress encore presentations, including cross-functional coordination, content adaptation, vendor management, and dissemination strategy consistent with Medical Affairs objectives and compliance requirements. Support scientific narrative development and continuous refinement of liver medical messages, ensuring clarity, consistency, and alignment across materials and channels. Help coordinate training, launch, distribution, and adoption of approved medical resources across field medical, digital platforms, and relevant cross-functional teams. Manage multiple projects, vendors, timelines, and stakeholders simultaneously with strong prioritization, attention to detail, and proactive risk escalation. Uphold Gilead core values and ensure all activities comply with applicable laws, regulations, and internal policies. Requirements: Education: Bachelors (in life sciences, health-related, or scientific area) and 6+ years of relevant experience required OR Masters (in life sciences, health-related, or scientific area) and 4+ years of relevant experience required OR PhD (in life sciences, health-related, or scientific area) and 0+ years of relevant experience required Experience: Scientific, clinical, Medical Affairs, Medical Communications, Clinical Development, or related biopharmaceutical experience Pharmaceutical or biotechnology industry experience, particularly within Medical Affairs, Medical Communications, Clinical Development, Medical Information, or related functions Experience developing, revising, reviewing, and managing Medical Affairs content, including slide decks, scientific narratives, educational resources, infographics, videos, digital assets, or congress materials Experience with digital medical content, digital engagement platforms, medical websites, CLM/MedDocs, Veeva or related systems, AI-enabled tools, or innovative HCP education channels Strong scientific acumen and ability to interpret clinical data, publications, guidelines, real-world evidence, and complex scientific issues. Excellent written, verbal, visual, and interpersonal communication skills; able to translate complex science into clear, concise, balanced, and actionable materials for internal and external scientific audiences. Demonstrated creativity and problem-solving ability, with capacity to generate practical solutions in a dynamic and evolving Medical Affairs environment. Strong project management skills, including ability to manage multiple workstreams, vendors, timelines, review cycles, and deliverables simultaneously. Track record of effectively sharing work across multiple complex projects Highly organized, detail-oriented, and able to anticipate needs, prioritize workload, manage ambiguity . click apply for full job details
AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/27/2026
Full time
AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/27/2026
Full time
AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
LexisNexis Legal & Professional
Raleigh, North Carolina
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you passionate about using data, analytics, and automation to drive smarter decisions at scale? Do you enjoy partnering with technical and business teams to understand complex cost drivers and uncover opportunities for optimization? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ( ). About the Role As a Senior FinOps Analyst, you will play a key role in shaping how AI costs are measured, analyzed, and optimized across the organization. You will own the data, analytics, and reporting that help teams understand the financial impact of AI adoption, while building scalable solutions that support effective decision-making and sustainable growth. This role offers an opportunity to partner closely with engineering, product, and finance stakeholders to improve visibility, forecasting, and cost efficiency. Our operating model is built around enablement rather than gatekeeping. Product and engineering teams evaluate models and select the options that best meet their needs. Your role is to make the cost implications of those choices visible early, clearly, and credibly so teams can make informed decisions. The goal is to influence through trusted data and practical insight, not through unnecessary approval processes. Responsibilities Own AI cost modeling and attribution across tokens, models, products, teams, and shared infrastructure. Define unit-cost metrics that distinguish usage growth from efficiency changes. Maintain accurate, explainable cost data with clear lineage and defensible methodology. Build Python pipelines that normalize telemetry, provider API data, platform usage, and cloud billing into trusted datasets. Automate recurring reporting, month-end close support, and anomaly detection. Develop practical BI dashboards for engineering teams and credible reporting for Finance stakeholders. Analyze cost movements and explain drivers, expected impacts, and forward-looking implications. Identify, quantify, and track optimization opportunities across model selection, prompt efficiency, caching, batching, retrieval, commitments, and tooling overlap. Requirements Experience in FinOps, cloud cost management, technology finance, data analytics, or a related analytical role. Strong analytical judgment, attention to detail, and ability to explain methodology, assumptions, and results. Working knowledge of AI inference cost drivers, including tokens, context length, model tier, caching, retrieval patterns, and agentic workload behavior. Python experience building APIs, data pipelines, normalized datasets, and repeatable automation. Strong SQL skills and dashboard-building experience in Power BI or Tableau for technical and finance audiences. Comfort using AI-assisted development tools such as Codex or Claude to accelerate analysis, automation, documentation, or pipeline work. Automation-first mindset focused on scalable reporting and reduced manual effort. Clear written communication that turns complex cost data into concise, actionable narratives. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
10/27/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you passionate about using data, analytics, and automation to drive smarter decisions at scale? Do you enjoy partnering with technical and business teams to understand complex cost drivers and uncover opportunities for optimization? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ( ). About the Role As a Senior FinOps Analyst, you will play a key role in shaping how AI costs are measured, analyzed, and optimized across the organization. You will own the data, analytics, and reporting that help teams understand the financial impact of AI adoption, while building scalable solutions that support effective decision-making and sustainable growth. This role offers an opportunity to partner closely with engineering, product, and finance stakeholders to improve visibility, forecasting, and cost efficiency. Our operating model is built around enablement rather than gatekeeping. Product and engineering teams evaluate models and select the options that best meet their needs. Your role is to make the cost implications of those choices visible early, clearly, and credibly so teams can make informed decisions. The goal is to influence through trusted data and practical insight, not through unnecessary approval processes. Responsibilities Own AI cost modeling and attribution across tokens, models, products, teams, and shared infrastructure. Define unit-cost metrics that distinguish usage growth from efficiency changes. Maintain accurate, explainable cost data with clear lineage and defensible methodology. Build Python pipelines that normalize telemetry, provider API data, platform usage, and cloud billing into trusted datasets. Automate recurring reporting, month-end close support, and anomaly detection. Develop practical BI dashboards for engineering teams and credible reporting for Finance stakeholders. Analyze cost movements and explain drivers, expected impacts, and forward-looking implications. Identify, quantify, and track optimization opportunities across model selection, prompt efficiency, caching, batching, retrieval, commitments, and tooling overlap. Requirements Experience in FinOps, cloud cost management, technology finance, data analytics, or a related analytical role. Strong analytical judgment, attention to detail, and ability to explain methodology, assumptions, and results. Working knowledge of AI inference cost drivers, including tokens, context length, model tier, caching, retrieval patterns, and agentic workload behavior. Python experience building APIs, data pipelines, normalized datasets, and repeatable automation. Strong SQL skills and dashboard-building experience in Power BI or Tableau for technical and finance audiences. Comfort using AI-assisted development tools such as Codex or Claude to accelerate analysis, automation, documentation, or pipeline work. Automation-first mindset focused on scalable reporting and reduced manual effort. Clear written communication that turns complex cost data into concise, actionable narratives. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details
10/27/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $108,000.00 - $148,500.00 Location: Benicia,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Key Responsibilities through in-depth understanding of customer technologies and critical gaps and work throughout the work cycle until the implementation of the solution Technically leads difficult, complex application activities and team Leads the execution teams ß-sites, evaluation and demos at customers site, through high involvement in the SOW and commitment schedule Interfaces with the customer regarding technical requirements analysis and schedule Define/approve Product application support plans for installation Create & Lead new methodologies in order to optimized system performance for specific application Analysis, Develop and Transfer new application capabilities in the system envelope from product division to customer application support team Lead customer Technical review meetings Functional Knowledge Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines Business Expertise Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market Leadership Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements Problem Solving Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information Impact Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies Interpersonal Skills Explains difficult or sensitive information; works to build consensus Senior Applications Engineer - Semiconductor 3D X-ray Solutions As an Applications Engineer, you will join an exciting and growing team of scientists, engineers, and research professionals, focused on advancing 3D X-ray solutions for semiconductor applications. You will collaborate closely with customers and internal teams to enable cutting-edge inspection, metrology, and failure analysis workflows. Key Responsibilities Lead system demonstrations for semiconductor customers, including fabs, FA labs, and R&D centers Develop new applications and methodologies tailored to semiconductor devices, processes, and packaging technologies Provide critical input to product development by informing system specifications based on customer needs and application gaps Deliver advanced customer training on system operation, data acquisition, and analysis workflows Design, develop, and optimize robust workflows for semiconductor inspection and analysis Perform tool characterization, benchmarking, and baseline performance studies for semiconductor use cases Serve as a technical leader in customer-facing support activities, including: Delivering high-impact technical presentations and demos Supporting industry conferences and trade shows Authoring technical papers and presenting at conferences Customer Base Our customers include semiconductor manufacturing facilities (fabs), failure analysis (FA) laboratories, and advanced R&D organizations working at the forefront of device innovation. Role Impact In this role, you will act as a key technical interface between engineering, sales, and marketing, serving as the voice of the semiconductor customer. You will partner with external clients and internal development teams to: Establish best-in-class workflows for routine semiconductor inspection and analysis Identify and unlock new applications of 3D X-ray technology across front-end and back-end processes Solve high-value problems (HVPs) related to yield, reliability, process development, and advanced packaging Essential Qualifications BS or MS degree in a relevant technical field (e.g., Materials Science, Physics, Electrical Engineering, or related discipline) 3-5 years of experience in a semiconductor-related field (e.g., fabs, failure analysis, metrology, or process development) Hands-on experience designing experiments, analyzing data, and delivering results in a commercial or customer-facing environment Ability and willingness to travel up to 30% (domestic and international) Preferred Qualifications Background in microscopy or advanced imaging techniques (e.g., X-ray CT, SEM, FIB) Working knowledge of X-ray absorption principles and imaging/optical fundamentals Experience with semiconductor capital equipment, particularly in inspection, metrology, or FA workflows Familiarity with advanced semiconductor technologies (e.g., 3D IC, heterogeneous integration, advanced packaging) Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
10/27/2026
Full time
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $108,000.00 - $148,500.00 Location: Benicia,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Key Responsibilities through in-depth understanding of customer technologies and critical gaps and work throughout the work cycle until the implementation of the solution Technically leads difficult, complex application activities and team Leads the execution teams ß-sites, evaluation and demos at customers site, through high involvement in the SOW and commitment schedule Interfaces with the customer regarding technical requirements analysis and schedule Define/approve Product application support plans for installation Create & Lead new methodologies in order to optimized system performance for specific application Analysis, Develop and Transfer new application capabilities in the system envelope from product division to customer application support team Lead customer Technical review meetings Functional Knowledge Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines Business Expertise Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market Leadership Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements Problem Solving Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information Impact Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies Interpersonal Skills Explains difficult or sensitive information; works to build consensus Senior Applications Engineer - Semiconductor 3D X-ray Solutions As an Applications Engineer, you will join an exciting and growing team of scientists, engineers, and research professionals, focused on advancing 3D X-ray solutions for semiconductor applications. You will collaborate closely with customers and internal teams to enable cutting-edge inspection, metrology, and failure analysis workflows. Key Responsibilities Lead system demonstrations for semiconductor customers, including fabs, FA labs, and R&D centers Develop new applications and methodologies tailored to semiconductor devices, processes, and packaging technologies Provide critical input to product development by informing system specifications based on customer needs and application gaps Deliver advanced customer training on system operation, data acquisition, and analysis workflows Design, develop, and optimize robust workflows for semiconductor inspection and analysis Perform tool characterization, benchmarking, and baseline performance studies for semiconductor use cases Serve as a technical leader in customer-facing support activities, including: Delivering high-impact technical presentations and demos Supporting industry conferences and trade shows Authoring technical papers and presenting at conferences Customer Base Our customers include semiconductor manufacturing facilities (fabs), failure analysis (FA) laboratories, and advanced R&D organizations working at the forefront of device innovation. Role Impact In this role, you will act as a key technical interface between engineering, sales, and marketing, serving as the voice of the semiconductor customer. You will partner with external clients and internal development teams to: Establish best-in-class workflows for routine semiconductor inspection and analysis Identify and unlock new applications of 3D X-ray technology across front-end and back-end processes Solve high-value problems (HVPs) related to yield, reliability, process development, and advanced packaging Essential Qualifications BS or MS degree in a relevant technical field (e.g., Materials Science, Physics, Electrical Engineering, or related discipline) 3-5 years of experience in a semiconductor-related field (e.g., fabs, failure analysis, metrology, or process development) Hands-on experience designing experiments, analyzing data, and delivering results in a commercial or customer-facing environment Ability and willingness to travel up to 30% (domestic and international) Preferred Qualifications Background in microscopy or advanced imaging techniques (e.g., X-ray CT, SEM, FIB) Working knowledge of X-ray absorption principles and imaging/optical fundamentals Experience with semiconductor capital equipment, particularly in inspection, metrology, or FA workflows Familiarity with advanced semiconductor technologies (e.g., 3D IC, heterogeneous integration, advanced packaging) Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID 19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. Join Gilead and help create possible, together. Director, IT Data & AI Product Owner - PDM & Tech Ops As part of our enterprise AI strategy to accelerate PDM and Tech Ops process and deliver therapies to patients faster, we are seeking a Director, IT Data/AI Product Owner - PDM and Tech Ops to lead AI/data product strategy across PDM and Tech Ops. In this leadership role, you will define and drive a portfolio-level product vision and roadmap for AI-enabled PDM and Tech Ops capabilities spanning Technical Development, Product and Process Development and Quality Areas You will serve as the IT Data & AI Center of Excellence (COE) lead for PDM and Tech Ops AI product/s, acting as the primary interface between PDM and Tech Ops stakeholders and IT, and shaping how AI is applied to improve knowledge management, Quality processes and decision-making for Technical Development, PD, and Quality. Reporting to the Senior Director, Data & AI, who will oversee a portfolio of AI-enabled products, lead product owners within the PDM and Tech Ops and other domains, and guide cross-functional teams to deliver high-impact solutions at scale. As the IT product owner, you will own the product vision, roadmap and stakeholder engagement for AI-enabled reporting, planning and analytics use cases while understanding the technical architecture required to deliver solutions. This position is based in Foster City, CA (hybrid eligible). Key Responsibilities Define and lead product strategy and multi-year roadmap for AI-enabled Technical Development and Quality capabilities. Partner with senior PDM and Tech Ops leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases Lead and mentor AI Delivery Leads, Data Scientists and Product Managers. Prioritize the product backlog based on business value, risk, technical feasibility, and alignment with enterprise data and AI strategy. Establish and scale product operating model for consistency in delivery. Translate business objectives into clear product requirements and backlog items, incorporating data architecture, platform constraints, and scalability considerations. Own the end to end product vision and multi year roadmap for a portfolio of AI-enabled capabilities for Technical Development, PD and Quality decision-support, balancing enterprise priorities, platform constraints and value realization. Align solutions with data architecture, AI/ML capabilities, and platforms. Ensure adherence to GxP, 21 CFR Part 11, Annex 11 and regulated SDLC process. Define and track success metrics such as cost reduction, productivity gains, user adoption, and satisfaction; use insights to guide continuous improvement. Drive change management and user adoption, including designing for user experience, stakeholder communications, training strategies, and feedback loops. Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement. Identify gaps between current state capabilities and target state solutions, influencing Databricks, AWS, and data platform evolution in partnership with technical leaders. Ensure compliance with GxP, privacy, and data governance requirements. Serve as a trusted advisor to clinical development leadership, applying strong business and financial acumen to evaluate trade offs and recommend data and AI driven solutions. Key Skills & Experience Bachelor's with 12+ years or Master's/PhD with 10+ years in relevant field. Strong understanding of clinical development processes including trial operations and data management. Experience leading AI/data product portfolios and teams. Strong executive stakeholder engagement and influence skills. Ability to translate complex business problems into scalable AI solutions. Knowledge of AI/data platforms (AWS, Databricks). Experience in Agile product delivery environments. Strong business acumen and prioritization skills. Differentiators Experience in PD, Quality systems, and understanding of CMC, manufacturing and supply chain analytics Experience applying AI/ML in clinical trials or development. Experience in GxP-regulated environments. Exposure to generative AI use cases. The salary range for this position is: $226,185.00 - $292,710.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. . click apply for full job details
10/27/2026
Full time
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID 19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. Join Gilead and help create possible, together. Director, IT Data & AI Product Owner - PDM & Tech Ops As part of our enterprise AI strategy to accelerate PDM and Tech Ops process and deliver therapies to patients faster, we are seeking a Director, IT Data/AI Product Owner - PDM and Tech Ops to lead AI/data product strategy across PDM and Tech Ops. In this leadership role, you will define and drive a portfolio-level product vision and roadmap for AI-enabled PDM and Tech Ops capabilities spanning Technical Development, Product and Process Development and Quality Areas You will serve as the IT Data & AI Center of Excellence (COE) lead for PDM and Tech Ops AI product/s, acting as the primary interface between PDM and Tech Ops stakeholders and IT, and shaping how AI is applied to improve knowledge management, Quality processes and decision-making for Technical Development, PD, and Quality. Reporting to the Senior Director, Data & AI, who will oversee a portfolio of AI-enabled products, lead product owners within the PDM and Tech Ops and other domains, and guide cross-functional teams to deliver high-impact solutions at scale. As the IT product owner, you will own the product vision, roadmap and stakeholder engagement for AI-enabled reporting, planning and analytics use cases while understanding the technical architecture required to deliver solutions. This position is based in Foster City, CA (hybrid eligible). Key Responsibilities Define and lead product strategy and multi-year roadmap for AI-enabled Technical Development and Quality capabilities. Partner with senior PDM and Tech Ops leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases Lead and mentor AI Delivery Leads, Data Scientists and Product Managers. Prioritize the product backlog based on business value, risk, technical feasibility, and alignment with enterprise data and AI strategy. Establish and scale product operating model for consistency in delivery. Translate business objectives into clear product requirements and backlog items, incorporating data architecture, platform constraints, and scalability considerations. Own the end to end product vision and multi year roadmap for a portfolio of AI-enabled capabilities for Technical Development, PD and Quality decision-support, balancing enterprise priorities, platform constraints and value realization. Align solutions with data architecture, AI/ML capabilities, and platforms. Ensure adherence to GxP, 21 CFR Part 11, Annex 11 and regulated SDLC process. Define and track success metrics such as cost reduction, productivity gains, user adoption, and satisfaction; use insights to guide continuous improvement. Drive change management and user adoption, including designing for user experience, stakeholder communications, training strategies, and feedback loops. Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement. Identify gaps between current state capabilities and target state solutions, influencing Databricks, AWS, and data platform evolution in partnership with technical leaders. Ensure compliance with GxP, privacy, and data governance requirements. Serve as a trusted advisor to clinical development leadership, applying strong business and financial acumen to evaluate trade offs and recommend data and AI driven solutions. Key Skills & Experience Bachelor's with 12+ years or Master's/PhD with 10+ years in relevant field. Strong understanding of clinical development processes including trial operations and data management. Experience leading AI/data product portfolios and teams. Strong executive stakeholder engagement and influence skills. Ability to translate complex business problems into scalable AI solutions. Knowledge of AI/data platforms (AWS, Databricks). Experience in Agile product delivery environments. Strong business acumen and prioritization skills. Differentiators Experience in PD, Quality systems, and understanding of CMC, manufacturing and supply chain analytics Experience applying AI/ML in clinical trials or development. Experience in GxP-regulated environments. Exposure to generative AI use cases. The salary range for this position is: $226,185.00 - $292,710.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. . click apply for full job details
Job Description Job Description WHO WE ARE: Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK: At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? JOB TITLE: Senior Product Designer II LOCATION: Remote, US only THE ROLE You know how to read a funnel, identify where an experience is failing, and fix it with the same craft and precision you'd bring to anything else. You bring a clear point of view to ambiguous work, hold craft standards even when things move fast, and design toward outcomes you can actually measure. You'll work closely with our Principal Designer on Growth across the full scope of how Splice acquires, activates, and retains creators. WHO WE ARE Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? WHAT YOU'LL DO Execute high-quality design across the full growth scope. Onboarding, subscription and paywall experiences, referral programs, core site, and lifecycle moments. You carry the craft standard across all of it, from early concept through shipped product. Partner with our Principal Designer on Growth to shape what gets built. You bring a point of view early, share it clearly, and then hold it loosely enough to change your mind when the work proves you wrong. You contribute to product decisions, not just execute them. You push back if briefs are too vague and distill fuzzy input into clear design questions. Drive experimentation with rigor. You identify where experience and data signal a real problem, frame a hypothesis, design the variants, and interpret results to inform what comes next. You know what a good experiment looks like and what makes a bad one - including when they're scoped too small to tell you anything, aimed at the wrong lever, or when the result is actually pointing you at the real problem elsewhere entirely. Ship work that moves metrics. Success is concrete: more creators completing onboarding, stronger conversion through the subscription experience, lifecycle moments that bring people back. You'll see the numbers and know which ones you moved. Collaborate closely with Marketing, PMs, engineers, and data scientists. You build working relationships that make fast, high-quality shipping possible. You communicate trade-offs clearly and keep things moving without waiting on a handoff. Contribute to the design system. You build in a way that scales, flag inconsistencies when you see them, and contribute components when you identify gaps. Use AI-native tools as a standard part of your practice. Cursor, Claude, and similar tools belong in your daily workflow - for rapid prototyping, exploring directions, and accelerating execution. JOB REQUIREMENTS 7+ years of product design experience, with meaningful time in a growth, conversion, or retention context. You've shipped real work that produced real outcomes. Your portfolio shows a refined eye and a high standard of execution. Work that doesn't demonstrate this clearly won't move forward. You are already using AI-native tools (Cursor, Claude, or equivalent) as a standard part of your workflow. This is a baseline expectation, not a bonus. Experimentation fluency. You understand A/B testing, how to design for it, and how to read results without over-indexing on noise. Funnel thinking. You can map a conversion funnel, identify where experience quality and business outcomes diverge, and design toward a specific outcome without losing sight of the user. Metric fluency. You know which metrics matter for growth, how to interpret them in context, and how to set up a design decision so it can actually be measured. You work fluidly within established design systems and contribute back to them. You partner naturally with PMs and engineers. You influence product direction through your work and your thinking, not just your pixels. You can present work clearly at every stage, from rough concept to leadership review, and articulate the reasoning behind a design decision without a lengthy preamble. NICE TO HAVES A genuine connection to music and creator culture. You understand what it means to be mid-session, chasing a sound, making something. Front-end fluency (HTML/CSS/React). You can read and write code when it helps you move faster or communicate more precisely. Experience with subscription or marketplace business models. SPLICE BENEFITS: Compensation & Equity: Competitive pay with annual reviews and equity opportunities. Time Off: Unlimited PTO to recharge and thrive. Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents. Retirement Savings: 401(k) plan with immediate vesting and company match. Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents. Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide. Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities. Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups. The national pay range for this role is $160,000 - $200,000. Individual compensation will be commensurate with the candidate's experience. Splice is an Equal Opportunity Employer Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
10/26/2026
Full time
Job Description Job Description WHO WE ARE: Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK: At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? JOB TITLE: Senior Product Designer II LOCATION: Remote, US only THE ROLE You know how to read a funnel, identify where an experience is failing, and fix it with the same craft and precision you'd bring to anything else. You bring a clear point of view to ambiguous work, hold craft standards even when things move fast, and design toward outcomes you can actually measure. You'll work closely with our Principal Designer on Growth across the full scope of how Splice acquires, activates, and retains creators. WHO WE ARE Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? WHAT YOU'LL DO Execute high-quality design across the full growth scope. Onboarding, subscription and paywall experiences, referral programs, core site, and lifecycle moments. You carry the craft standard across all of it, from early concept through shipped product. Partner with our Principal Designer on Growth to shape what gets built. You bring a point of view early, share it clearly, and then hold it loosely enough to change your mind when the work proves you wrong. You contribute to product decisions, not just execute them. You push back if briefs are too vague and distill fuzzy input into clear design questions. Drive experimentation with rigor. You identify where experience and data signal a real problem, frame a hypothesis, design the variants, and interpret results to inform what comes next. You know what a good experiment looks like and what makes a bad one - including when they're scoped too small to tell you anything, aimed at the wrong lever, or when the result is actually pointing you at the real problem elsewhere entirely. Ship work that moves metrics. Success is concrete: more creators completing onboarding, stronger conversion through the subscription experience, lifecycle moments that bring people back. You'll see the numbers and know which ones you moved. Collaborate closely with Marketing, PMs, engineers, and data scientists. You build working relationships that make fast, high-quality shipping possible. You communicate trade-offs clearly and keep things moving without waiting on a handoff. Contribute to the design system. You build in a way that scales, flag inconsistencies when you see them, and contribute components when you identify gaps. Use AI-native tools as a standard part of your practice. Cursor, Claude, and similar tools belong in your daily workflow - for rapid prototyping, exploring directions, and accelerating execution. JOB REQUIREMENTS 7+ years of product design experience, with meaningful time in a growth, conversion, or retention context. You've shipped real work that produced real outcomes. Your portfolio shows a refined eye and a high standard of execution. Work that doesn't demonstrate this clearly won't move forward. You are already using AI-native tools (Cursor, Claude, or equivalent) as a standard part of your workflow. This is a baseline expectation, not a bonus. Experimentation fluency. You understand A/B testing, how to design for it, and how to read results without over-indexing on noise. Funnel thinking. You can map a conversion funnel, identify where experience quality and business outcomes diverge, and design toward a specific outcome without losing sight of the user. Metric fluency. You know which metrics matter for growth, how to interpret them in context, and how to set up a design decision so it can actually be measured. You work fluidly within established design systems and contribute back to them. You partner naturally with PMs and engineers. You influence product direction through your work and your thinking, not just your pixels. You can present work clearly at every stage, from rough concept to leadership review, and articulate the reasoning behind a design decision without a lengthy preamble. NICE TO HAVES A genuine connection to music and creator culture. You understand what it means to be mid-session, chasing a sound, making something. Front-end fluency (HTML/CSS/React). You can read and write code when it helps you move faster or communicate more precisely. Experience with subscription or marketplace business models. SPLICE BENEFITS: Compensation & Equity: Competitive pay with annual reviews and equity opportunities. Time Off: Unlimited PTO to recharge and thrive. Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents. Retirement Savings: 401(k) plan with immediate vesting and company match. Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents. Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide. Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities. Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups. The national pay range for this role is $160,000 - $200,000. Individual compensation will be commensurate with the candidate's experience. Splice is an Equal Opportunity Employer Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Job Description Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant's extensive collection of datasets-sourced from hundreds of vendors-into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms-empowering systematic research and robust backtesting. Responsibilities Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers. Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks values matrices for rapid hypothesis testing. Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs. Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors. Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability. Prototype and deploy internal data applications that enhance research productivity and data transparency. Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment. Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes). Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems). Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies. Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts. Ability to translate research needs into efficient data schemas and access patterns. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. Strong collaboration, communication, and documentation skills. Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-tax commuter benefits. Weekly company meals. Applications are open for both Stamford, CT and New York City Offices. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.
10/26/2026
Full time
Job Description Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant's extensive collection of datasets-sourced from hundreds of vendors-into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms-empowering systematic research and robust backtesting. Responsibilities Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers. Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks values matrices for rapid hypothesis testing. Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs. Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors. Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability. Prototype and deploy internal data applications that enhance research productivity and data transparency. Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment. Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes). Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems). Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies. Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts. Ability to translate research needs into efficient data schemas and access patterns. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. Strong collaboration, communication, and documentation skills. Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-tax commuter benefits. Weekly company meals. Applications are open for both Stamford, CT and New York City Offices. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.
Job Description Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant's extensive collection of datasets-sourced from hundreds of vendors-into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms-empowering systematic research and robust backtesting. Responsibilities Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers. Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks values matrices for rapid hypothesis testing. Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs. Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors. Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability. Prototype and deploy internal data applications that enhance research productivity and data transparency. Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment. Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes). Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems). Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies. Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts. Ability to translate research needs into efficient data schemas and access patterns. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. Strong collaboration, communication, and documentation skills. Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-tax commuter benefits. Weekly company meals. Applications are open for both Stamford, CT and New York City Offices. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.
10/26/2026
Full time
Job Description Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant's extensive collection of datasets-sourced from hundreds of vendors-into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms-empowering systematic research and robust backtesting. Responsibilities Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers. Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks values matrices for rapid hypothesis testing. Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs. Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors. Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability. Prototype and deploy internal data applications that enhance research productivity and data transparency. Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment. Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes). Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems). Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies. Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts. Ability to translate research needs into efficient data schemas and access patterns. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. Strong collaboration, communication, and documentation skills. Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-tax commuter benefits. Weekly company meals. Applications are open for both Stamford, CT and New York City Offices. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.
Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with specific expertise in high speed mixed-signal design to lead the design, implementation, and deployment of custom electronic assemblies for the control system of our quantum computer. In this role, you will drive hardware strategy across multiple concurrent projects while remaining deeply engaged in the tactical engineering work This position is located in Boulder, Colorado, and will report to the Control Systems Manager. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with quantum engineers and other groups to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Experience in a full design cycle, from concept and schematic capture through to layout, fabrication, and initial board bring-up. Working knowledge of PCB design best practices and a keen attention to detail. Mixed signal design experience Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
10/26/2026
Full time
Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with specific expertise in high speed mixed-signal design to lead the design, implementation, and deployment of custom electronic assemblies for the control system of our quantum computer. In this role, you will drive hardware strategy across multiple concurrent projects while remaining deeply engaged in the tactical engineering work This position is located in Boulder, Colorado, and will report to the Control Systems Manager. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with quantum engineers and other groups to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Experience in a full design cycle, from concept and schematic capture through to layout, fabrication, and initial board bring-up. Working knowledge of PCB design best practices and a keen attention to detail. Mixed signal design experience Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description About the Role We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners. Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection. Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team. Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust. Key Responsibilities Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability. Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above. Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time. Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of. Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval. Own deployment, CI/CD and operational reliability of the platform on Kubernetes. Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection. Required Qualifications Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes. Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems. Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes. Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end. A track record of owning data infrastructure end-to-end with limited supervision. Preferred Qualifications Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval. A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware. Familiarity with transaction data and transaction fraud signals. Compensation Base salary range: $180 - $270 Bonus / commission: 15% Travel Minimal travel expected. This is an on-site role based in New York City, with 3-4 days per week in the office. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
10/26/2026
Full time
Job Description Job Description About the Role We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners. Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection. Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team. Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust. Key Responsibilities Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability. Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above. Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time. Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of. Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval. Own deployment, CI/CD and operational reliability of the platform on Kubernetes. Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection. Required Qualifications Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes. Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems. Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes. Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end. A track record of owning data infrastructure end-to-end with limited supervision. Preferred Qualifications Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval. A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware. Familiarity with transaction data and transaction fraud signals. Compensation Base salary range: $180 - $270 Bonus / commission: 15% Travel Minimal travel expected. This is an on-site role based in New York City, with 3-4 days per week in the office. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
Job Description Job Description Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG. Job Description Job Responsibilites: Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products. Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals. Must have a grasp of both low and high frequency models. Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience Expertise with Time Series FMs (beyond the time series task of forecasting) In-depth experience in signal processing for sensor data and their integration with deep-learning methods Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications 3+ years of experience in industrial research Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow) Familiarity with high-performance computing systems and job schedulers (Slurm, LSF) Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints Additional Information Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. The U.S. base salary range for this full-time position is $165,000 - $ 195,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
10/26/2026
Full time
Job Description Job Description Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG. Job Description Job Responsibilites: Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products. Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals. Must have a grasp of both low and high frequency models. Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience Expertise with Time Series FMs (beyond the time series task of forecasting) In-depth experience in signal processing for sensor data and their integration with deep-learning methods Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications 3+ years of experience in industrial research Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow) Familiarity with high-performance computing systems and job schedulers (Slurm, LSF) Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints Additional Information Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. The U.S. base salary range for this full-time position is $165,000 - $ 195,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
Job Description Job Description Location: San Diego, CA Job Type: Full-Time, Onsite Salary: $180,000 - $195,000 Position Overview We are seeking a Senior Staff Systems Architect, Data Quality to join our rapidly growing team. You will be at the heart of our efforts to develop a high-throughput sample-to-answer platform. You will work with a diverse group of scientists and engineers to ensure that the system generates the highest possible quality data at the maximum achievable rate. This will require developing models and budgets describing key aspects of our platform including signal-to-noise ratio, throughput, and runtime. When the performance of the system does not match the expectations of the model, you will work with a multi-disciplinary team to identify root causes and resolve the issue. You will use a data-based approach to identify critical parameters, model expected outcomes, and analyze experimental results. You will use the tools you build attacking problems to create metrology and diagnostics systems that will monitor system health and alert the team to potential problems before they happen. The problems that we will overcome are varied and subtle, requiring a combination of creative thinking and thoughtful implementation of well-known problem-solving techniques. The ideal candidate is an analytical polyglot - able and willing to contribute to a diverse set of challenges ranging from sensor crosstalk nonuniformity to differential oligo binding affinities. Responsibilities Own system-level models for data quality, signal-to-noise ratio, throughput, and other key performance metrics. Analyze and resolve complicated integration challenges involving hardware, software, biology, and informatics using a data-based approach. Lead multi-disciplinary structured problem-solving teams as needed to resolve the most serious issues. Design and perform systematic experiments to identify critical parameters and optimize performance and reliability. Develop metrics and diagnostics to guide the work of the hardware and chemistry teams and give them key insights into the results of their experiments. Qualifications BS, MS or PhD Biophysics, Physics, Data Science, Biomedical Engineering or related field. BS and 12+, MS and 10+, or PhD and 6+ years of experience in data analysis, experimental design and integration of complex scientific platforms. Proven ability to collaborate cross-functionally with engineering, scientific, and informatics teams. Experience developing and owning system-level models and budgets of complex biological research platforms. Experience using AI tools to quickly prototype and deploy analysis pipelines. Proficiency in Python, MATLAB, C++ or similar language. Preferred Qualifications Familiarity with high-resolution optical systems and associated data pipelines. Experience with Critical Parameters Management (CPM), Six Sigma, Quality by Design (QbD), or similar methodologies. Record of innovation through publications, patents or open-source contributions. Why Join Us Influence the foundational technologies and strategies of a company poised to shape the future of clinical genomics and healthcare. Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued. Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering. Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration. We are an equal opportunity employer. We thrive on diversity and collaboration.
10/26/2026
Full time
Job Description Job Description Location: San Diego, CA Job Type: Full-Time, Onsite Salary: $180,000 - $195,000 Position Overview We are seeking a Senior Staff Systems Architect, Data Quality to join our rapidly growing team. You will be at the heart of our efforts to develop a high-throughput sample-to-answer platform. You will work with a diverse group of scientists and engineers to ensure that the system generates the highest possible quality data at the maximum achievable rate. This will require developing models and budgets describing key aspects of our platform including signal-to-noise ratio, throughput, and runtime. When the performance of the system does not match the expectations of the model, you will work with a multi-disciplinary team to identify root causes and resolve the issue. You will use a data-based approach to identify critical parameters, model expected outcomes, and analyze experimental results. You will use the tools you build attacking problems to create metrology and diagnostics systems that will monitor system health and alert the team to potential problems before they happen. The problems that we will overcome are varied and subtle, requiring a combination of creative thinking and thoughtful implementation of well-known problem-solving techniques. The ideal candidate is an analytical polyglot - able and willing to contribute to a diverse set of challenges ranging from sensor crosstalk nonuniformity to differential oligo binding affinities. Responsibilities Own system-level models for data quality, signal-to-noise ratio, throughput, and other key performance metrics. Analyze and resolve complicated integration challenges involving hardware, software, biology, and informatics using a data-based approach. Lead multi-disciplinary structured problem-solving teams as needed to resolve the most serious issues. Design and perform systematic experiments to identify critical parameters and optimize performance and reliability. Develop metrics and diagnostics to guide the work of the hardware and chemistry teams and give them key insights into the results of their experiments. Qualifications BS, MS or PhD Biophysics, Physics, Data Science, Biomedical Engineering or related field. BS and 12+, MS and 10+, or PhD and 6+ years of experience in data analysis, experimental design and integration of complex scientific platforms. Proven ability to collaborate cross-functionally with engineering, scientific, and informatics teams. Experience developing and owning system-level models and budgets of complex biological research platforms. Experience using AI tools to quickly prototype and deploy analysis pipelines. Proficiency in Python, MATLAB, C++ or similar language. Preferred Qualifications Familiarity with high-resolution optical systems and associated data pipelines. Experience with Critical Parameters Management (CPM), Six Sigma, Quality by Design (QbD), or similar methodologies. Record of innovation through publications, patents or open-source contributions. Why Join Us Influence the foundational technologies and strategies of a company poised to shape the future of clinical genomics and healthcare. Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued. Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering. Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration. We are an equal opportunity employer. We thrive on diversity and collaboration.