SAS-to-R/Python Migration Lead

• Lead analytics modernization initiatives supporting surveillance, research, and program evaluation.
• Develop strategies, roadmaps, coding standards, and governance frameworks for analytic transformation.
• Assess legacy SAS environments, workflows, and reporting pipelines to identify modernization opportunities.
• Lead migration of SAS workflows to R and Python, ensuring analytic intent and output consistency.
• Design validation frameworks to confirm equivalence between legacy and modernized workflows.
• Establish and maintain code review standards, automated validation, and reproducibility controls.
• Collaborate with biostatisticians and epidemiologists to validate migrated outputs.
• Develop reusable libraries, templates, and frameworks to increase consistency and efficiency.
• Support implementation of cloud-based analytics environments and scalable data science platforms.
• Establish enterprise standards for reusable analytics and technical documentation.
• Mentor technical teams in R, Python, Git, testing methodologies, and modern development practices.
• Develop technical designs, migration inventories, validation reports, and training materials.
• Support proposal efforts and thought leadership activities related to analytics modernization.

• U.S. Citizen or Permanent Resident with ability to obtain and maintain a Public Trust clearance.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Biostatistics, Informatics, Engineering, or related field; Master’s preferred.
• 8+ years supporting analytics modernization, statistical programming, or data science.
• Experience leading SAS to R/Python migration initiatives.
• Expertise in SAS programming, including macros, PROC SQL, data step, and reporting workflows.
• Proficiency in R and Python, including development of reusable packages and automated workflows.
• Experience designing validation frameworks, regression testing, and quality control processes.
• Strong collaboration skills with biostatisticians, epidemiologists, and data scientists.
• Experience with Git, GitHub, Azure DevOps, CI/CD pipelines, and software development lifecycle.
• Ability to develop and maintain technical documentation, migration plans, and validation reports.

Preferred Qualifications

• Master’s degree in Data Science, Computer Science, Statistics, or related discipline.
• Experience supporting analytic workflows in healthcare, public health, or government environments.
• Strong problem-solving and stakeholder engagement skills.
• Experience leading technical workstreams and mentoring multidisciplinary teams.
• Knowledge of modern analytics platforms such as Databricks, Snowflake, Azure, or AWS.
• Experience with CI/CD, DataOps, MLOps, containerization, and automated deployment frameworks.
• Experience developing enterprise analytics frameworks and supporting large-scale public health systems.
• Prior work with state public health agencies or federal health organizations.