{"schemaVersion":"jobsearcher.job.v1","id":"a24a2c1a0176bcb3d9a1dd16","url":"https://jobsearcher.com/jobs/a24a2c1a0176bcb3d9a1dd16","canonicalUrl":"https://jobsearcher.com/jobs/a24a2c1a0176bcb3d9a1dd16","title":"SAS-to-R/Python Migration Lead","description":"SAS-to-R/Python Migration Lead\nRemote\n\nBlu Omega is seeking a SAS-to-R/Python Migration Lead to support a federal program focused on HIV surveillance, data modernization, and public health analytics. This role operates within a remote environment and is responsible for leading analytics modernization efforts across complex public health data environments. The position requires experience supporting data modernization, statistical programming, and stakeholder engagement to improve public health outcomes.\n\nProgram Overview\nSupports CDC efforts to modernize HIV data collection and analysis, examining program effectiveness, HIV prevalence, resistance mutations, and outbreak clusters.\n\nKey Details\nLocation: Remote\nClearance: Public Trust Eligible\n\nResponsibilities\n\nLead analytics modernization initiatives supporting surveillance, research, and program evaluation.\nDevelop strategies, roadmaps, coding standards, and governance frameworks for analytic transformation.\nAssess legacy SAS environments, workflows, and reporting pipelines to identify modernization opportunities.\nLead migration of SAS workflows to R and Python, ensuring analytic intent and output consistency.\nDesign validation frameworks to confirm equivalence between legacy and modernized workflows.\nEstablish and maintain code review standards, automated validation, and reproducibility controls.\nCollaborate with biostatisticians and epidemiologists to validate migrated outputs.\nDevelop reusable libraries, templates, and frameworks to increase consistency and efficiency.\nSupport implementation of cloud-based analytics environments and scalable data science platforms.\nEstablish enterprise standards for reusable analytics and technical documentation.\nMentor technical teams in R, Python, Git, testing methodologies, and modern development practices.\nDevelop technical designs, migration inventories, validation reports, and training materials.\nSupport proposal efforts and thought leadership activities related to analytics modernization.\n\nRequired Qualifications\n\nU.S. Citizen or Permanent Resident with ability to obtain and maintain a Public Trust clearance.\nBachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Informatics, Engineering, or related field; Master’s preferred.\n8+ years supporting analytics modernization, statistical programming, or data science.\nExperience leading SAS to R/Python migration initiatives.\nExpertise in SAS programming, including macros, PROC SQL, data step, and reporting workflows.\nProficiency in R and Python, including development of reusable packages and automated workflows.\nExperience designing validation frameworks, regression testing, and quality control processes.\nStrong collaboration skills with biostatisticians, epidemiologists, and data scientists.\nExperience with Git, GitHub, Azure DevOps, CI/CD pipelines, and software development lifecycle.\nAbility to develop and maintain technical documentation, migration plans, and validation reports.\n\nPreferred Qualifications\n\nMaster’s degree in Data Science, Computer Science, Statistics, or related discipline.\nExperience supporting analytic workflows in healthcare, public health, or government environments.\nStrong problem-solving and stakeholder engagement skills.\nExperience leading technical workstreams and mentoring multidisciplinary teams.\nKnowledge of modern analytics platforms such as Databricks, Snowflake, Azure, or AWS.\nExperience with CI/CD, DataOps, MLOps, containerization, and automated deployment frameworks.\nExperience developing enterprise analytics frameworks and supporting large-scale public health systems.\nPrior work with state public health agencies or federal health organizations.\n\nSalary Range\n$92,000.00 - $101,000.00\n\n#CJ #LI-Remote","company":"Blu Omega","rawCompany":"blu omega","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-27T12:47:35.062Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"923120","title":"Administration of Public Health Programs","slug":"administration-of-public-health-programs"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"SAS-to-R/Python Migration Lead","description":"SAS-to-R/Python Migration Lead\nRemote\n\nBlu Omega is seeking a SAS-to-R/Python Migration Lead to support a federal program focused on HIV surveillance, data modernization, and public health analytics. This role operates within a remote environment and is responsible for leading analytics modernization efforts across complex public health data environments. The position requires experience supporting data modernization, statistical programming, and stakeholder engagement to improve public health outcomes.\n\nProgram Overview\nSupports CDC efforts to modernize HIV data collection and analysis, examining program effectiveness, HIV prevalence, resistance mutations, and outbreak clusters.\n\nKey Details\nLocation: Remote\nClearance: Public Trust Eligible\n\nResponsibilities\n\nLead analytics modernization initiatives supporting surveillance, research, and program evaluation.\nDevelop strategies, roadmaps, coding standards, and governance frameworks for analytic transformation.\nAssess legacy SAS environments, workflows, and reporting pipelines to identify modernization opportunities.\nLead migration of SAS workflows to R and Python, ensuring analytic intent and output consistency.\nDesign validation frameworks to confirm equivalence between legacy and modernized workflows.\nEstablish and maintain code review standards, automated validation, and reproducibility controls.\nCollaborate with biostatisticians and epidemiologists to validate migrated outputs.\nDevelop reusable libraries, templates, and frameworks to increase consistency and efficiency.\nSupport implementation of cloud-based analytics environments and scalable data science platforms.\nEstablish enterprise standards for reusable analytics and technical documentation.\nMentor technical teams in R, Python, Git, testing methodologies, and modern development practices.\nDevelop technical designs, migration inventories, validation reports, and training materials.\nSupport proposal efforts and thought leadership activities related to analytics modernization.\n\nRequired Qualifications\n\nU.S. Citizen or Permanent Resident with ability to obtain and maintain a Public Trust clearance.\nBachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Informatics, Engineering, or related field; Master’s preferred.\n8+ years supporting analytics modernization, statistical programming, or data science.\nExperience leading SAS to R/Python migration initiatives.\nExpertise in SAS programming, including macros, PROC SQL, data step, and reporting workflows.\nProficiency in R and Python, including development of reusable packages and automated workflows.\nExperience designing validation frameworks, regression testing, and quality control processes.\nStrong collaboration skills with biostatisticians, epidemiologists, and data scientists.\nExperience with Git, GitHub, Azure DevOps, CI/CD pipelines, and software development lifecycle.\nAbility to develop and maintain technical documentation, migration plans, and validation reports.\n\nPreferred Qualifications\n\nMaster’s degree in Data Science, Computer Science, Statistics, or related discipline.\nExperience supporting analytic workflows in healthcare, public health, or government environments.\nStrong problem-solving and stakeholder engagement skills.\nExperience leading technical workstreams and mentoring multidisciplinary teams.\nKnowledge of modern analytics platforms such as Databricks, Snowflake, Azure, or AWS.\nExperience with CI/CD, DataOps, MLOps, containerization, and automated deployment frameworks.\nExperience developing enterprise analytics frameworks and supporting large-scale public health systems.\nPrior work with state public health agencies or federal health organizations.\n\nSalary Range\n$92,000.00 - $101,000.00\n\n#CJ #LI-Remote","datePosted":"2026-08-27T12:47:35.062Z","dateModified":"2026-08-27T12:47:35.062Z","hiringOrganization":{"@type":"Organization","name":"Blu Omega","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a24a2c1a0176bcb3d9a1dd16"},"url":"https://jobsearcher.com/jobs/a24a2c1a0176bcb3d9a1dd16"}}