Senior AI/ML Engineer
Sarepta Therapeutics, Inc. · Cambridge, MA
$152,400–$190,500from the description
Jul 16, 2026
Cambridge, MA
Jul 20, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building and deploying machine learning models into production workflows at a rare-disease biopharmaceutical company. The work begins with R&D applications and is expected to expand into clinical and regulatory domains, requiring close collaboration with data engineering and cross-functional business teams. Suits an experienced data scientist with strong software engineering habits and an interest in life sciences data.
Senior level · 5+ years · Remote · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 7,300 people nationally plausibly meet what this posting asks for (data scientists). range 4,350–10,900
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The JD requires a Master's or Ph.D. in a quantitative field; a Bachelor's is not listed as an acceptable minimum, so Masters is set as the degree floor.
The overall experience requirement is '5+ years of experience with 3+ years of hands-on experience in data science and machine learning' — the role-level gate is 5 years total.
Python and R are listed as interchangeable ('such as Python or R'); Python is captured as primary with R as an alternative.
Scikit-learn, TensorFlow, and PyTorch are listed together as examples of ML frameworks ('e.g., Scikit-learn, TensorFlow, PyTorch'). Because they are presented as a group of interchangeable examples under a required skill, Scikit-learn is captured as primary with TensorFlow and PyTorch as alternatives. TensorFlow and PyTorch are also emitted separately as preferred skills given their individual prominence.
AWS is listed as the preferred cloud platform ('preferably Amazon Web Services') but sits within the required Technical Skills section — it is a hard gate on cloud experience with AWS as the named preferred option; Azure and GCP are listed as alternatives.
Snowflake is listed alongside AWS in the required Technical Skills section and is treated as a hard gate.
All items under 'Preferred Experience' (biopharmaceutical industry, drug discovery, life sciences data sources, GxP) are preferred, not required. GxP is the only concrete named standard among them.
The posting states '#LI-Hybrid' and that the role is hybrid with on-site expectations; the caller has instructed this be treated as fully remote and no metro is inferred.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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