Principal Applied Machine Learning Scientist
Omada Health
$270,480–$338,100from the description
Jul 14, 2026
—
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor research role focused on building machine learning models that predict how a patient's health will evolve over time and determining which clinical interventions are most likely to help at a given moment. The work spans longitudinal modeling, causal inference, and reinforcement learning-based decision systems, with an expectation that research outputs reach production. The position also involves mentoring other scientists and collaborating with product, engineering, and clinical teams.
Principal level · 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 85 people nationally plausibly meet what this posting asks for (data scientists). range 50–130
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
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 states a Ph.D. is required but will consider a Master's 'with substantial, directly related experience at a senior level' — the degree requirement is set to Masters (the minimum that can satisfy the gate) rather than Doctorate, reflecting that the Master's path is explicitly offered as an alternative.
Compensation figures shown are for California, New York, and Washington ($270,480–$338,100); Colorado figures are lower ($258,720–$323,400). The higher range is used here as the primary figure. Other states may vary.
The role is fully remote ('remote first work from home culture') with no stated geographic restriction beyond state-level pay bands.
AWS SageMaker is named as an example cloud ML platform ('or equivalent'), so Azure ML and Google Vertex AI are listed as alternatives.
Healthcare background and peer-reviewed publications are listed under 'Bonus Points for' and are treated as preferred.
MLOps appears in a collaborative context ('partner with MLOps teams') rather than as a hard skill gate, so it is treated as preferred.
The alternative occupation (15-1252 Software Developers) reflects that the role involves building and deploying production ML systems, but the primary day-to-day work is clearly research and algorithm development, making 15-2051 the stronger fit.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time-series modeling, longitudinal modeling.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.