Principal Data Scientist

Sarepta Therapeutics•Cambridge, MA

8h•$144,000 - $180,000•Hybrid

About The Position

Why Sarepta? Why Now? The promise of genetic medicine has arrived, and Sarepta is at the forefront. We hold a leadership position in Duchenne muscular dystrophy (Duchenne) and are building a robust portfolio of programs across muscle, central nervous system, and cardiac diseases. In 2023, we launched our fourth therapy and the first ever gene therapy to treat Duchenne. We’re looking for people who see unlimited potential in themselves and who are motivated by an unwavering commitment to patients. What Sarepta Offers At Sarepta, we care deeply about all the people in our community and believe in the importance of supporting them in all aspects of their lives. We aspire to maintain a culture that acknowledges people bring their whole selves to work, and we will strive to help everyone in our community integrate their work and personal lives while maintaining productivity. We are committed to offering a range of benefits and work-life resources designed to support people in the following areas: Physical and Emotional Wellness Financial Wellness Support for Caregivers For a full list of our comprehensive benefits, see our website: https://www.sarepta.com/join-us The Importance of the Role The Principal Data Scientist provides technical and scientific leadership for clinical analytics and data visualization within Sarepta Therapeutics. This role is responsible for advising analytical strategy, setting development standards, and delivering scalable, validated analytical products that support clinical programs from early development through submission. As a senior individual contributor, the Principal Data Scientist operates with broad autonomy, partners closely with scientific leadership, and mentors other data scientists while remaining hands-on with complex analytical work. The Opportunity to Make a Difference • Translate protocol‑driven clinical, statistical, and data‑review needs into scalable, exploratory and production‑ready analytical solutions • Own architecture and technical direction for Shiny‑based and reproducible analytics platforms • Ensure analytics meet validation, traceability, and inspection‑readiness expectations • Develop and maintain reusable R packages, frameworks, and analytical standards • Review and elevate code quality across the data science team through standards, design reviews, and mentorship • Mentor and guide data scientists and contractors through technical leadership and best practices • Partner with Biometrics, Clinical Operations, and Regulatory teams as a technical subject‑matter expert to support submissions and reviews • Evaluate and integrate emerging tools, automation, and AI‑assisted development in regulated environments where appropriate More about You • Deep expertise in R, Shiny, and R package development at production scale • Extensive experience supporting clinical development in pharma or biotech • Strong understanding of clinical trial data standards, workflows, and regulatory expectations • Proven ability to design systems-level analytical solutions • Experience with validation frameworks, documentation, and audit-facing deliverables • Demonstrated leadership through influence, mentorship, and technical ownership What Now? We’re always looking for solution-oriented, critical thinkers. So, if you’re comfortable with ambiguity and candor, relish challenging yourself, and place kindness and integrity at the forefront of how you approach your peers and work, then we encourage you to apply. #LI-Hybrid Blank This position is hybrid, you will be expected to work on site at one of Sarepta’s facilities in the United States and/or attend Company-sponsored in-person events from time to time. The targeted salary range for this position is $144,000 - $180,000 per year. Sarepta is making a good faith effort to be transparent and accurate around our hiring ranges. The salary offer is commensurate with Sarepta’s compensation philosophy and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. Candidates must be authorized to work in the U.S. Sarepta Therapeutics offers a competitive compensation and benefit package. Sarepta Therapeutics is an Equal Opportunity/Affirmative Action employer and participates in e-Verify. Sarepta is on an urgent mission: engineer precision genetic medicine for rare diseases that devastate lives and cut futures short. We hold a leadership position in Duchenne muscular dystrophy (Duchenne) and are building a robust portfolio of programs across muscle, central nervous system, and cardiac diseases. Our deep pipeline is driven by our multi-platform technologies in siRNA, RNA and gene therapy. For more information, please visit www.sarepta.com or follow us on Twitter, LinkedIn, Instagram and Facebook.

Requirements

Deep expertise in R, Shiny, and R package development at production scale
Extensive experience supporting clinical development in pharma or biotech
Strong understanding of clinical trial data standards, workflows, and regulatory expectations
Proven ability to design systems-level analytical solutions
Experience with validation frameworks, documentation, and audit-facing deliverables
Demonstrated leadership through influence, mentorship, and technical ownership

Nice To Haves

Experience partnering closely with or serving in a trial statistician role
Integration of R with Python, SQL, or cloud-based analytics platforms
Prior ownership of analytical platforms or frameworks
Familiarity with CDISC, submission workflows, and regulatory review processes

Responsibilities

Translate protocol‑driven clinical, statistical, and data‑review needs into scalable, exploratory and production‑ready analytical solutions
Own architecture and technical direction for Shiny‑based and reproducible analytics platforms
Ensure analytics meet validation, traceability, and inspection‑readiness expectations
Develop and maintain reusable R packages, frameworks, and analytical standards
Review and elevate code quality across the data science team through standards, design reviews, and mentorship
Mentor and guide data scientists and contractors through technical leadership and best practices
Partner with Biometrics, Clinical Operations, and Regulatory teams as a technical subject‑matter expert to support submissions and reviews
Evaluate and integrate emerging tools, automation, and AI‑assisted development in regulated environments where appropriate