SAS-to-R/Python Migration Lead

SAS-to-R/Python Migration Lead
Remote

Blu 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.

Program Overview
Supports CDC efforts to modernize HIV data collection and analysis, examining program effectiveness, HIV prevalence, resistance mutations, and outbreak clusters.

Key Details
Location: Remote
Clearance: Public Trust Eligible

Responsibilities

• 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.

Required Qualifications

• 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.

Salary Range
$92,000.00 - $101,000.00

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