Data Scientist at UCLA Health
Los Angeles, CA
$105,700–$234,500from the description
Jul 22, 2026
Los Angeles, CA
Jul 23, 2026
What this job asks for AI summary
A data scientist role within a large health system, focused on building and validating AI/ML models that support clinical, operational, and financial workflows. Day-to-day work spans LLM and generative AI development, MLOps/LLMOps practices, bias and fairness evaluation, and communicating findings to both technical and non-technical stakeholders. Suits candidates with a graduate-level quantitative background and hands-on experience leading end-to-end data science projects, ideally with healthcare data exposure.
Senior level · 2+ years · Los Angeles-Long Beach-Anaheim, CA · 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 110 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (data scientists). range 80–160
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 $132,593 (middle half $93,359–$172,124). 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 (12)
The JD states a Master's degree is 'required' and a PhD is 'preferred'; Masters is set as the minimum hard degree gate.
The stated minimum experience is '2 or more years' in advanced analytics — notably low for the scope described (end-to-end project leadership, stakeholder influence, mentoring). The actual responsibilities and breadth of required expertise support a Senior-level classification despite the low stated floor.
Python is listed as required; R is listed as an alternative ('Python or R is required'). TensorFlow, Keras, and scikit-learn are listed together as a framework group under the same required bullet — TensorFlow is used as the primary with the others as alternatives.
Data visualization tools (Tableau, Power BI, matplotlib, ggplot2) are explicitly called 'required'; they are captured as a single skill with alternatives.
Azure and Databricks appear under a 'preferred' qualifier ('Microsoft Azure or similar… Databricks is preferred').
Shell scripting, Perl, C++, Java, and SQL appear under a 'preferred' section ('Strong programming skills… are preferred').
Jupyter Notebooks and Databricks as development/documentation tools are listed as preferred.
Epic certification is required within 6 months of hire if not already certified — it is a post-hire obligation rather than a pre-hire gate, so it is captured as preferred.
Healthcare/EHR data experience is explicitly listed as preferred.
The role is flex-hybrid (minimum 20% on-site in Greater Los Angeles); candidates must reside in or relocate to the Greater Los Angeles area. Remote is set to false.
The university notes it anticipates offering a salary between the minimum and midpoint of the stated range ($105,700–$234,500).
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): statistical bias and fairness testing.
Read the full posting
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