McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
11/14/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details
11/14/2026
Full time
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
11/14/2026
Full time
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
This job is with WTW, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity. We will only consider candidates who are currently authorized to work in the United States and who will not require sponsorship now or in the future. Please note: student visas, CPT, OPT, H-1B, TN, and other temporary work authorizations are considered restricted forms of employment eligibility. Once these expire, the candidate must be able to present another valid form of work authorization. Start Date: August 2 nd , 2027 Hybrid Locations: New York Graduate Program Overview The CRB Graduate Development Program (GDP) is a non-rotational 17-month program that provides the opportunity to develop a broad knowledge base, varied skills, and diverse network. This program is designed to set you up with a holistic view of CRB with hands-on experience, insight, and opportunities to make an impact and shape your own career. GDP participants will be immersed in a 1-week orientation followed by a robust onboarding training learning about various functions within CRB. Our program is designed to provide graduates with a well-rounded understanding of the industry while having the opportunity to deep dive within their respective business area. R&A Enterprise Risk Consulting Overview Colleagues working in Risk & Analytics' Enterprise Risk Consulting (ERC) team provide our clients with a smarter way to analyze risk, using quantification, structured approaches, risk analytics tools and subject matter expertise to improve client outcomes. With our expertise and tailored solutions, we improve complex enterprise risk management by identifying, quantifying and mitigating unpredictable, interconnected risks. We currently work with some of the world's largest and complex organizations to assess and manage their strategic risks. We also work with smaller organizations early in their ERM journeys. We work across many industries including Food & Beverage, Professional Services, Transportation / Logistics, Energy, Construction, Manufacturing and others. Work within ERC is predominantly project-based, and you will often be involved in multiple projects simultaneously. Our work is often collaborative, providing exposure to a range of teams within the division. Responsibilities: As an Analyst within Risk & Analytics' Enterprise Risk Consulting (ERC) team, you will support the delivery of client projects that help organizations identify, assess, quantify, and manage enterprise risks while strengthening organizational resilience. You will work alongside consultants, data scientists, actuaries, catastrophe modelers, business continuity specialists, and industry experts to deliver solutions for some of the world's largest organizations. Project work may include: Enterprise Risk Management (ERM) assessments and maturity reviews Enterprise-wide risk identification, prioritization, and risk register development Risk appetite, tolerance, and governance framework design Strategic risk quantification and decision-support modeling Business Continuity Planning (BCP) and operational resilience programs Development of risk monitoring, reporting, and key risk indicators Benchmarking, research, and analysis to support client recommendations In this role, you will frequently collaborate with colleagues across WTW, including risk consulting, catastrophe modeling, climate, actuarial, insurance, and analytics teams to address complex client challenges. You will also contribute to the development of new consulting methodologies, tools, and thought leadership. As part of our innovation agenda, you will help explore and apply emerging AI-enabled approaches that enhance analytical insights, improve delivery efficiency, and create better outcomes for our clients. What You'll Gain Exposure to a wide variety of industries and risk challenges Experience working directly with senior client stakeholders Opportunities to develop analytical, consulting, and project management skills Collaboration with multidisciplinary teams across WTW Hands-on experience with innovative risk analytics and AI-enabled solutions A strong foundation for a career in enterprise risk management, business continuity, resilience, and risk consulting Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Qualifications Education and Qualifications: Bachelor's degree with a minimum of 3.0 GPA Date of Graduation between May 2026 - May 2027 Preferred Majors: Risk Management, Business, Finance, Economics, Accounting, Liberal Arts Intermediate to advance Excel skills Proficient in Microsoft Office Suite Competencies: Strong analytical, problem-solving, and critical thinking skills Excellent written and verbal communication skills, including the ability to translate complex concepts into clear, actionable insights Strong interpersonal and relationship-building skills, with the ability to collaborate effectively with colleagues, clients, and subject matter experts across functions Intellectual curiosity and a willingness to learn new methodologies, technologies, and AI-enabled approaches to consulting Strong organizational and project management skills with the ability to manage multiple priorities and deadlines Self-starter mindset with the ability to work independently while contributing to team success Proficiency in Microsoft Excel, PowerPoint, and Word Interest in enterprise risk management, business continuity, resilience, analytics, and organizational decision-making Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Compensation The hourly rate being offered for this role is $36.00hr - $39.00hr USD. This role is also eligible for overtime. Company Benefits: WTW provides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program) Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off Retirement Benefits: Contributory Pension Plan and Savings Plan (401k) Future Career Opportunities: Our internship program serves as a key talent pipeline for future full-time Graduate opportunities. As a result, candidates must meet the graduation date requirements specified in the posting. If a candidate's expected graduation date changes after applying, they are expected to promptly inform their recruiter or manager, as this may impact eligibility for current or future opportunities. Recruiting tips: WTW specializes in preparing for the unknown. Here's how to get ready for the big day: Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified. EOE, including disability/vets
11/14/2026
Full time
This job is with WTW, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity. We will only consider candidates who are currently authorized to work in the United States and who will not require sponsorship now or in the future. Please note: student visas, CPT, OPT, H-1B, TN, and other temporary work authorizations are considered restricted forms of employment eligibility. Once these expire, the candidate must be able to present another valid form of work authorization. Start Date: August 2 nd , 2027 Hybrid Locations: New York Graduate Program Overview The CRB Graduate Development Program (GDP) is a non-rotational 17-month program that provides the opportunity to develop a broad knowledge base, varied skills, and diverse network. This program is designed to set you up with a holistic view of CRB with hands-on experience, insight, and opportunities to make an impact and shape your own career. GDP participants will be immersed in a 1-week orientation followed by a robust onboarding training learning about various functions within CRB. Our program is designed to provide graduates with a well-rounded understanding of the industry while having the opportunity to deep dive within their respective business area. R&A Enterprise Risk Consulting Overview Colleagues working in Risk & Analytics' Enterprise Risk Consulting (ERC) team provide our clients with a smarter way to analyze risk, using quantification, structured approaches, risk analytics tools and subject matter expertise to improve client outcomes. With our expertise and tailored solutions, we improve complex enterprise risk management by identifying, quantifying and mitigating unpredictable, interconnected risks. We currently work with some of the world's largest and complex organizations to assess and manage their strategic risks. We also work with smaller organizations early in their ERM journeys. We work across many industries including Food & Beverage, Professional Services, Transportation / Logistics, Energy, Construction, Manufacturing and others. Work within ERC is predominantly project-based, and you will often be involved in multiple projects simultaneously. Our work is often collaborative, providing exposure to a range of teams within the division. Responsibilities: As an Analyst within Risk & Analytics' Enterprise Risk Consulting (ERC) team, you will support the delivery of client projects that help organizations identify, assess, quantify, and manage enterprise risks while strengthening organizational resilience. You will work alongside consultants, data scientists, actuaries, catastrophe modelers, business continuity specialists, and industry experts to deliver solutions for some of the world's largest organizations. Project work may include: Enterprise Risk Management (ERM) assessments and maturity reviews Enterprise-wide risk identification, prioritization, and risk register development Risk appetite, tolerance, and governance framework design Strategic risk quantification and decision-support modeling Business Continuity Planning (BCP) and operational resilience programs Development of risk monitoring, reporting, and key risk indicators Benchmarking, research, and analysis to support client recommendations In this role, you will frequently collaborate with colleagues across WTW, including risk consulting, catastrophe modeling, climate, actuarial, insurance, and analytics teams to address complex client challenges. You will also contribute to the development of new consulting methodologies, tools, and thought leadership. As part of our innovation agenda, you will help explore and apply emerging AI-enabled approaches that enhance analytical insights, improve delivery efficiency, and create better outcomes for our clients. What You'll Gain Exposure to a wide variety of industries and risk challenges Experience working directly with senior client stakeholders Opportunities to develop analytical, consulting, and project management skills Collaboration with multidisciplinary teams across WTW Hands-on experience with innovative risk analytics and AI-enabled solutions A strong foundation for a career in enterprise risk management, business continuity, resilience, and risk consulting Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Qualifications Education and Qualifications: Bachelor's degree with a minimum of 3.0 GPA Date of Graduation between May 2026 - May 2027 Preferred Majors: Risk Management, Business, Finance, Economics, Accounting, Liberal Arts Intermediate to advance Excel skills Proficient in Microsoft Office Suite Competencies: Strong analytical, problem-solving, and critical thinking skills Excellent written and verbal communication skills, including the ability to translate complex concepts into clear, actionable insights Strong interpersonal and relationship-building skills, with the ability to collaborate effectively with colleagues, clients, and subject matter experts across functions Intellectual curiosity and a willingness to learn new methodologies, technologies, and AI-enabled approaches to consulting Strong organizational and project management skills with the ability to manage multiple priorities and deadlines Self-starter mindset with the ability to work independently while contributing to team success Proficiency in Microsoft Excel, PowerPoint, and Word Interest in enterprise risk management, business continuity, resilience, analytics, and organizational decision-making Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Compensation The hourly rate being offered for this role is $36.00hr - $39.00hr USD. This role is also eligible for overtime. Company Benefits: WTW provides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program) Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off Retirement Benefits: Contributory Pension Plan and Savings Plan (401k) Future Career Opportunities: Our internship program serves as a key talent pipeline for future full-time Graduate opportunities. As a result, candidates must meet the graduation date requirements specified in the posting. If a candidate's expected graduation date changes after applying, they are expected to promptly inform their recruiter or manager, as this may impact eligibility for current or future opportunities. Recruiting tips: WTW specializes in preparing for the unknown. Here's how to get ready for the big day: Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified. EOE, including disability/vets
LexisNexis Legal & Professional
Horsham, Pennsylvania
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. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. 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 flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice 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: $136,100 - $252,800. 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 . click apply for full job details
11/14/2026
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. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. 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 flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice 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: $136,100 - $252,800. 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 . click apply for full job details
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. About the Role Internal Job Title: Senior Expert I/II, Data Science Position Location : Cambridge, MA, hybrid This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. Job description Summary: The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. Responsibilities: Translate scientific and operational AI needs into impactful, decision-enabling solutions. Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products. Scale AI workflows using reproducible, transparent, secure, and FAIR data practices. Prioritize resources against evolving research needs. Establish rigorous project evaluation, deployment, lifecycle, and governance practices. Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams. Provide oversight and onboarding of external vendors and service providers. Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements : PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience. We will also consider qualified MS degree applicants with 5+ years of relevant post-graduate experience. 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products. Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Compensation & Benefits: The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, Data Science, and $138,600 and $257,400 USD annually for Senior Expert II, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here . Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
11/13/2026
Full time
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. About the Role Internal Job Title: Senior Expert I/II, Data Science Position Location : Cambridge, MA, hybrid This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. Job description Summary: The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. Responsibilities: Translate scientific and operational AI needs into impactful, decision-enabling solutions. Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products. Scale AI workflows using reproducible, transparent, secure, and FAIR data practices. Prioritize resources against evolving research needs. Establish rigorous project evaluation, deployment, lifecycle, and governance practices. Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams. Provide oversight and onboarding of external vendors and service providers. Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements : PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience. We will also consider qualified MS degree applicants with 5+ years of relevant post-graduate experience. 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products. Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Compensation & Benefits: The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, Data Science, and $138,600 and $257,400 USD annually for Senior Expert II, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here . Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
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. NOTE: Candidate MUST reside in the Eastern Time zone (EST) Are you passionate about building scalable Salesforce solutions that directly empower sales teams and improve customer outcomes? Would you like to help shape the future of AI-enabled CRM capabilities while working with industry-leading technologies and data-driven platforms? 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 Salesforce Sales Cloud Engineer II, you will design, build, and support scalable Salesforce Sales Cloud solutions that enable sales, sales operations, and customer success teams to succeed. You will lead the delivery of complex features, integrate Salesforce with key enterprise platforms, and help drive the adoption of AI-powered capabilities. This role combines hands-on engineering, technical leadership, and collaboration across business and technology teams to deliver impactful customer and business outcomes. Responsibilities: Design, develop, and deploy Sales Cloud solutions across Lead, Account, Contact, Opportunity, Quote, Forecasting, and Territory Management. Build solutions using Apex, Lightning Web Components (LWC), Flow, and declarative Salesforce capabilities. Architect and maintain integrations between Salesforce and enterprise platforms including CDP, data warehouses, service platforms, customer portals, and sales enablement tools. Support the single customer view through identity matching, survivorship rules, and duplicate management across systems. Operationalize customer and business signals such as health score, churn risk, and propensity-to-buy within Salesforce workflows. Design and build AI-driven automation using Agentforce, Einstein, Prompt Builder, and Flow. Drive CI/CD and release management using Copado, Git, and SFDX, including automated testing and deployment pipelines. Troubleshoot complex production issues, performance bottlenecks, and data synchronization challenges. Requirements: 6+ years of hands-on Salesforce development experience, with at least 4 years on Sales Cloud. Strong proficiency in Apex, SOQL/SOSL, triggers, batch and queueable jobs, LWC, and Flow. Deep knowledge of the Sales Cloud data model, sharing and security model, and opportunity and forecast management. Proven experience with API-based integrations and middleware. Hands-on experience with Copado for CI/CD and release management, including pipeline configuration, branching and promotion strategies, automated deployments, and back-promotions. Also experience with Git-based source control and SFDX. Hands-on experience building automation with Salesforce Flow (record-triggered, orchestration, and platform-event flows) plus Apex-based automation. 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: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. 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 .
11/13/2026
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. NOTE: Candidate MUST reside in the Eastern Time zone (EST) Are you passionate about building scalable Salesforce solutions that directly empower sales teams and improve customer outcomes? Would you like to help shape the future of AI-enabled CRM capabilities while working with industry-leading technologies and data-driven platforms? 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 Salesforce Sales Cloud Engineer II, you will design, build, and support scalable Salesforce Sales Cloud solutions that enable sales, sales operations, and customer success teams to succeed. You will lead the delivery of complex features, integrate Salesforce with key enterprise platforms, and help drive the adoption of AI-powered capabilities. This role combines hands-on engineering, technical leadership, and collaboration across business and technology teams to deliver impactful customer and business outcomes. Responsibilities: Design, develop, and deploy Sales Cloud solutions across Lead, Account, Contact, Opportunity, Quote, Forecasting, and Territory Management. Build solutions using Apex, Lightning Web Components (LWC), Flow, and declarative Salesforce capabilities. Architect and maintain integrations between Salesforce and enterprise platforms including CDP, data warehouses, service platforms, customer portals, and sales enablement tools. Support the single customer view through identity matching, survivorship rules, and duplicate management across systems. Operationalize customer and business signals such as health score, churn risk, and propensity-to-buy within Salesforce workflows. Design and build AI-driven automation using Agentforce, Einstein, Prompt Builder, and Flow. Drive CI/CD and release management using Copado, Git, and SFDX, including automated testing and deployment pipelines. Troubleshoot complex production issues, performance bottlenecks, and data synchronization challenges. Requirements: 6+ years of hands-on Salesforce development experience, with at least 4 years on Sales Cloud. Strong proficiency in Apex, SOQL/SOSL, triggers, batch and queueable jobs, LWC, and Flow. Deep knowledge of the Sales Cloud data model, sharing and security model, and opportunity and forecast management. Proven experience with API-based integrations and middleware. Hands-on experience with Copado for CI/CD and release management, including pipeline configuration, branching and promotion strategies, automated deployments, and back-promotions. Also experience with Git-based source control and SFDX. Hands-on experience building automation with Salesforce Flow (record-triggered, orchestration, and platform-event flows) plus Apex-based automation. 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: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. 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 .
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for a Senior Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 9+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $142,800 - $193,200 Applications for this position will be accepted until Nov. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for a Senior Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 9+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $142,800 - $193,200 Applications for this position will be accepted until Nov. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Family: Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI with Polygraph What You Will Do : Our Data and Analytics consultants help clients maximize the value of their data. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence. They help clients define their information strategy, architecture, and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness. The successful candidate will bring expertise in developing, building, and maintaining data assets and managing a team. This is a high visibility role and the candidate will be expected to speak confidently and intelligently about a variety of data products, methodologies, industry trends and challenges. This role will be involved in managing and maintaining client relationships as well as proactively participate in business development discussions. The candidate should demonstrate the flexibility to pivot and respond quickly to a dynamic and evolving company culture and broader energy transition landscape. Duties will include: Coordinating and leading internal team actions to meet project and client objectives. Consulting with the client to determine analytics required, technical solutions and methods to ensure a high confidence model for client decision making. Interfacing with Client Subject Matter Experts to design, develop, validate and deploy capabilities that enable client objectives. What You Will Need : An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a FULL SCOPE (FS/FSP) polygraph Bachelor's degree THREE (3) or more years of experience Data Science or Data Analytics. Experience cleaning, manipulating, and pre-processing data using Python, SQL, R, or Tableau Prep Builder. Experience developing reports and dashboards for business intelligence, utilizing D ata Visualization tools such as Tableau Excellent communication skills, both verbal and written What Would Be Nice to Have : M.S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline. Tableau Desktop Certification: Certified Professional, Certified Associate, Specialist. Tableau Server Certification: Certified Professional, Certified Associate. Proficiency querying data in SQL. Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python or R. Experience with MS Forms and Power Automate. Ability to support clients in identifying and addressing needs, building relationships, and driving solutions forward and experience leading small teams. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
10/05/2026
Full time
Job Family: Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI with Polygraph What You Will Do : Our Data and Analytics consultants help clients maximize the value of their data. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence. They help clients define their information strategy, architecture, and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness. The successful candidate will bring expertise in developing, building, and maintaining data assets and managing a team. This is a high visibility role and the candidate will be expected to speak confidently and intelligently about a variety of data products, methodologies, industry trends and challenges. This role will be involved in managing and maintaining client relationships as well as proactively participate in business development discussions. The candidate should demonstrate the flexibility to pivot and respond quickly to a dynamic and evolving company culture and broader energy transition landscape. Duties will include: Coordinating and leading internal team actions to meet project and client objectives. Consulting with the client to determine analytics required, technical solutions and methods to ensure a high confidence model for client decision making. Interfacing with Client Subject Matter Experts to design, develop, validate and deploy capabilities that enable client objectives. What You Will Need : An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a FULL SCOPE (FS/FSP) polygraph Bachelor's degree THREE (3) or more years of experience Data Science or Data Analytics. Experience cleaning, manipulating, and pre-processing data using Python, SQL, R, or Tableau Prep Builder. Experience developing reports and dashboards for business intelligence, utilizing D ata Visualization tools such as Tableau Excellent communication skills, both verbal and written What Would Be Nice to Have : M.S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline. Tableau Desktop Certification: Certified Professional, Certified Associate, Specialist. Tableau Server Certification: Certified Professional, Certified Associate. Proficiency querying data in SQL. Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python or R. Experience with MS Forms and Power Automate. Ability to support clients in identifying and addressing needs, building relationships, and driving solutions forward and experience leading small teams. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried). This role can be based out of our Norwood, MA or Johnston, RI office, with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
10/02/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried). This role can be based out of our Norwood, MA or Johnston, RI office, with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
CSL Behring seeks a Senior Programmer to build secure, scalable applications that power pharmaceutical R&D and data management. In this role, you will design and implement enterprise software, integrate scientific and clinical systems, and ensure compliance with GxP and data integrity standards. Collaborating closely with researchers and IT teams, you'll translate complex requirements into robust, high-quality code. CSL offers a collaborative, inclusive culture with strong focus on learning, patient impact, and continuous professional development in a cutting-edge biotech environment. Responsibilities Design, develop, and maintain enterprise software supporting pharmaceutical R&D and data management Collaborate with scientists, data managers, and IT teams to translate requirements into robust technical solutions Ensure systems comply with Gx P, data integrity, and security standards Optimize application performance, reliability, and scalability in a regulated environment Mentor junior developers and contribute to code reviews and best practices Integrate laboratory, clinical, and business systems via APIs and data pipelines Participate in Agile ceremonies and drive continuous improvement Document technical designs, validation evidence, and operational procedures Troubleshoot complex production issues and implement sustainable fixes Partner with stakeholders to evaluate new technologies and tools Required Skills Java or C# programming Python scripting SQL and relational databases Cloud platforms (AWS/Azure/GCP) RESTful API design and integration Source control (Git) Agile/Scrum methodologies Data integration and ETL tools Pharmaceutical Gx P/21 CFR Part 11 compliance System design and architecture
09/30/2026
Full time
CSL Behring seeks a Senior Programmer to build secure, scalable applications that power pharmaceutical R&D and data management. In this role, you will design and implement enterprise software, integrate scientific and clinical systems, and ensure compliance with GxP and data integrity standards. Collaborating closely with researchers and IT teams, you'll translate complex requirements into robust, high-quality code. CSL offers a collaborative, inclusive culture with strong focus on learning, patient impact, and continuous professional development in a cutting-edge biotech environment. Responsibilities Design, develop, and maintain enterprise software supporting pharmaceutical R&D and data management Collaborate with scientists, data managers, and IT teams to translate requirements into robust technical solutions Ensure systems comply with Gx P, data integrity, and security standards Optimize application performance, reliability, and scalability in a regulated environment Mentor junior developers and contribute to code reviews and best practices Integrate laboratory, clinical, and business systems via APIs and data pipelines Participate in Agile ceremonies and drive continuous improvement Document technical designs, validation evidence, and operational procedures Troubleshoot complex production issues and implement sustainable fixes Partner with stakeholders to evaluate new technologies and tools Required Skills Java or C# programming Python scripting SQL and relational databases Cloud platforms (AWS/Azure/GCP) RESTful API design and integration Source control (Git) Agile/Scrum methodologies Data integration and ETL tools Pharmaceutical Gx P/21 CFR Part 11 compliance System design and architecture
