Senior AI/ML Engineer

Sarepta Therapeutics•Cambridge, MA

6d•$152,400 - $190,500•Hybrid

About The Position

Sarepta Therapeutics is seeking a highly motivated and experienced Senior AI/ML Engineer to join our technology teams. This is a unique opportunity to be a foundational member of a new innovative team that will drive adoption of artificial intelligence and machine learning across the organization. The successful candidate will deliver prioritized AI/ML use cases—initially focused on R&D workflows and expanding into clinical and regulatory use cases as capabilities mature—while operating within enterprise architecture, governance, and data standards. This role requires deep technical expertise, strong problem framing, and the ability to collaborate and communicate effectively with cross-functional teams.

Requirements

Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Computational Biology, or a related discipline.
5+ years of experience with 3+ years of hands-on experience in data science and machine learning, with a track record of developing and deploying AI/ML models in a corporate environment.
Experience operating in fast-paced, evolving environments and collaborating effectively across disciplines.
Expert proficiency in programming languages such as Python or R.
Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Strong knowledge of SQL and experience working with relational and non-relational databases.
Hands-on experience with cloud computing platforms, preferably Amazon Web Services and Snowflake.
Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD.
Excellent problem-solving and analytical skills.
Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical audiences.
Demonstrated ability to work independently and as part of a collaborative team.
Curious, questioning mindset—asks the right questions and challenges assumptions to understand workflows before implementing solutions.

Nice To Haves

Experience in the biopharmaceutical or biotechnology industry.
Familiarity with drug discovery and development processes.
Experience with life sciences data sources (e.g., genomic data, clinical trial data, real-world evidence).
Knowledge of GxP regulations and experience working in a regulated environment.

Responsibilities

Design, build, and deploy scalable and robust machine learning models embedded in real workflows, with measurable outcomes.
Evaluate internal approaches and vendor-provided AI/ML technologies as needed, ensuring solutions meet scientific and business requirements and align to approved platforms.
Partner with stakeholders from R&D, Clinical Operations, Regulatory Affairs, and other departments to understand needs and translate them into data science questions and production solutions; provide guidance and enablement to colleagues.
Work closely with IT, Enterprise Data Systems (EDS), and data engineering teams to ensure the availability, quality, and governed use of data required for AI/ML initiatives.
Ensure outputs are explainable where appropriate, traceable, reproducible, and aligned with established governance and validation expectations, including adherence to enterprise data governance standards.
Stay abreast of advances in machine learning, artificial intelligence, and data science; explore practical approaches that can be applied to Sarepta’s business challenges.