Senior Clinical Data Scientist
Unlearn · San Francisco, CA
$160,000–$180,000
Jul 21, 2026
San Francisco, CA
Jul 23, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building data products that feed machine learning models used in clinical trials. Day-to-day work involves ingesting and curating clinical trial, observational, and electronic health record data, assessing its quality and limitations, and collaborating with cross-functional teams of scientists and engineers. The role also involves direct client engagement, helping adapt solutions to real-world study designs across multiple disease areas. Best suited to someone with strong Python skills, hands-on experience with clinical or healthcare datasets, and familiarity with clinical data standards.
Senior level · 5+ years · San Francisco-Oakland-Berkeley, CA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 1,850 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 980–2,450
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $173,851 (middle half $133,298–$217,653).
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 (5)
The role is classified as Data Scientists (15-2051) rather than Operations Research Analysts (15-2031) because the primary work involves building ML-ready datasets and applying machine learning to clinical data, not BI/reporting or dashboard analysis. However, the heavy data wrangling, harmonization, and clinical dataset focus gives 15-2031 a plausible secondary claim.
The degree requirement lists 'BS or advanced degree' with no explicit 'or equivalent experience' escape clause, so Bachelors is treated as the minimum hard requirement.
CDISC, ADaM, and SDTM are listed together as examples of regulatory-facing clinical data standards under the Requirements section. They are captured as a single skill (CDISC) with ADaM and SDTM as named alternatives, since the posting treats them as interchangeable examples of the same standard family.
The posting does not specify a salary range.
The role is headquartered in San Francisco; no explicit remote option is stated, so remote is set to false.
Read the full posting
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