Senior AI/ML Engineer

Posted Yesterday
Cambridge, MA, USA
In-Office
152K-191K Annually
Senior level
Biotech
The Role
Design, build, and deploy scalable ML models for R&D and expand into clinical/regulatory use cases. Partner with cross-functional teams, ensure data availability and governance, evaluate vendor and internal solutions, and maintain explainability, traceability, and reproducibility within enterprise architecture.
Summary Generated by Built In

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

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.

The Opportunity to Make a Difference

  • Use Case Delivery and Implementation: Design, build, and deploy scalable and robust machine learning models embedded in real workflows, with measurable outcomes.
  • Solution Evaluation and Implementation: Evaluate internal approaches and vendor-provided AI/ML technologies as needed, ensuring solutions meet scientific and business requirements and align to approved platforms.
  • Cross-Functional Collaboration: 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.
  • Data and Infrastructure: 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.
  • Governance and Traceability: Ensure outputs are explainable where appropriate, traceable, reproducible, and aligned with established governance and validation expectations, including adherence to enterprise data governance standards.
  • Innovation and Research: Stay abreast of advances in machine learning, artificial intelligence, and data science; explore practical approaches that can be applied to Sarepta’s business challenges.

More about You

Education

Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Computational Biology, or a related discipline.

Experience

  • 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.

Technical Skills

  • 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.

Soft Skills

  • 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.

Preferred

  • 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.

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.

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

#LI-ES1

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 $152,400 - $190,500 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.

Skills Required

  • Master's or Ph.D. in Computer Science, Data Science, Statistics, Computational Biology, or related quantitative field.
  • 5+ years experience with 3+ years hands-on data science and machine learning, including developing and deploying models in a corporate environment.
  • Expert proficiency in Python or R.
  • Extensive experience with machine learning libraries/frameworks (Scikit-learn, TensorFlow, PyTorch).
  • Strong knowledge of SQL and experience with relational and non-relational databases.
  • Hands-on experience with cloud computing platforms (preferably AWS) and data platforms (Snowflake).
  • Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD.
  • Excellent problem-solving, analytical, communication, and interpersonal skills; ability to work independently and cross-functionally.
  • Hybrid work onsite at Sarepta US facilities and ability to attend company-sponsored in-person events as needed.
  • Must be authorized to work in the U.S.
  • Experience in biopharmaceutical/biotechnology, drug discovery, life sciences data sources, or GxP/regulatory environments.

Sarepta Therapeutics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sarepta Therapeutics and has not been reviewed or approved by Sarepta Therapeutics.

  • Fair & Transparent Compensation Feedback suggests pay is considered fair for the role and overall compensation is competitive. Statements referencing good compensation and the company’s positioning of competitive compensation reinforce this perception.
  • Leave & Time Off Breadth Feedback points to generous paid time off, holidays, sick time, and paid parental leave. This breadth supports balance and is consistently highlighted as a strength.
  • Healthcare Strength Coverage spans medical, dental, vision, prescription, disability, and life insurance with added critical illness and accident options. The scope indicates robust healthcare support.

Sarepta Therapeutics Insights

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The Company
HQ: Cambridge, MA
1,464 Employees

What We Do

Sarepta Therapeutics, headquartered in Cambridge, Massachusetts, is a global biotechnology company on an urgent mission: engineer precision genetic medicine for rare diseases that devastate lives and cut futures short. We hold leadership positions in Duchenne muscular dystrophy (DMD) and limb-girdle muscular dystrophies (LGMDs), and we currently have more than 40 programs in various stages of development. Our vast pipeline is driven by our multi-platform Precision Genetic Medicine Engine in gene therapy, RNA and gene editing. For information on our Community Guidelines, please visit sarepta.com/community-guidelines. We want to share a reminder with all job seekers and candidates regarding the persistence of recruiting fraud. Please read a message about recruiting fraud and steps you can take to protect yourself here: https://www.sarepta.com/recruiting-fraud

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