Manager, Real-World Evidence Analytics

Moderna • Cambridge, MA

1d • Hybrid

About The Position

ModernaTX, Inc. seeks a Manager, Real-World Evidence Analytics for its Cambridge, Massachusetts location. This role involves supporting Real-World Evidence (RWE) studies focused on vaccine effectiveness, adherence patterns, disease burden, and healthcare resource utilization and costs, to generate timely insights for regulatory submissions and Health Economics and Outcomes Research (HEOR) cost-effectiveness modeling. The manager will collaborate with cross-functional teams including Epidemiology, HEOR, Safety, Medical Affairs, and Pharmacovigilance to support RWE strategy development, protocol and analysis plan design, results interpretation, and publication/dissemination of findings. The role also includes representing the RWE Analytics team in cross-organizational efforts, selecting and applying appropriate statistical and machine learning methods to align with scientific and business objectives, and partnering with the Digital team and external vendors to support the development, testing, and maintenance of scalable, internal analytical platforms.

Requirements

• Requires a Master’s degree, or foreign equivalent, in Statistics, Biostatistics, Applied Biostatistics, Epidemiology or related field.
• 4 years of experience in the offered position or as a RWE Scientist, Analytics Scientist, Statistician, Statistical/Data Analyst or related position.
• At least 4 years of experience with: Statistical Programming languages and tools including R/R Shiny, SAS/SAS macros, STATA, Python, SQL, GitHub, Excel VBA, and user-defined function development.
• At least 4 years of experience with: Applying statistical methods relevant to RWE study, including comparative testing, propensity score matching, advanced regression modeling, survival analysis, causal inference, sampling theory, and machine learning.
• At least 4 years of experience with: Designing, executing, interpreting and disseminating analyses using Real-World Data (RWD) sources.
• At least 4 years of experience with: Curating, validating and maintaining clinical code lists and RWD pipelines.
• At least 4 years of experience with: Data analysis using knowledge of Healthcare Payment Reimbursement Policy and Regulatory Frameworks, Electric Health Record and Claims Data Standards, Medical Code Ontologies and drug classification systems.

Responsibilities

• Support Real-World Evidence (RWE) studies focused on vaccine effectiveness, adherence patterns, disease burden, and healthcare resource utilization and costs, to generate timely insights for regulatory submissions and Health Economics and Outcomes Research (HEOR) cost-effectiveness modeling.
• Collaborate with cross functional teams – including Epidemiology, HEOR, Safety, Medical Affairs, and Pharmacovigilance – to support RWE strategy development, protocol and analysis plan design, results interpretation, and publication/dissemination of findings.
• Represent the RWE Analytics team in cross-organizational efforts, selecting and applying appropriate statistical and machine learning methods in order to ensure alignment with scientific and business objectives.
• Partner with the Digital team and external vendors to support the development, testing, and maintenance of scalable, internal analytical platforms.
• Execute end-to-end RWE studies, feasibility assessments, and ad hoc analyses using tools such as SAS/SAS macros, SQL, R/R Shiny, GitHub, Python, and STATA.
• Conduct routine data quality assessments of real-world data (RWD) sources, including Medicare, Medicaid, commercial claims, and electronic health records.
• Manage and maintain clinical code lists (diagnosis, procedure, drug/vaccine codes), ensuring quality and consistency using R, Python, Excel, VBA, and AI-assisted tools.
• Develop and document user-defined functions in R and SQL, along with quick-start guides to enable efficient and standardized use of commonly leveraged RWD sources.

Benefits

• Best-in-class healthcare coverage, plus voluntary benefit programs to support your unique needs
• A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
• Family planning benefits, including fertility, adoption, and surrogacy support
• Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
• Savings and investment opportunities to help you plan for the future
• Location-specific perks and extras
• The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 1,001-5,000 employees