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Principal Applied Machine Learning Scientist
Omada HealthRemote, USA · Remote · full time · Principal
$235,200 – $338,100
Listed on Omada Health’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A Principal Applied ML Scientist position leading research and development of predictive health trajectory models and next-best-action algorithms for chronic disease management. This role combines machine learning research with healthcare product impact, requiring deep technical expertise in temporal modeling, causal inference, and reinforcement learning to operationalize algorithms that improve member health outcomes.
Our summary, not Omada Health’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Ph.D. in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics, or related quantitative field (or Master's with substantial senior-level experience)
- Multiple years of post-secondary machine learning research or applied research science experience
- Deep expertise in time-series or longitudinal modeling, healthcare prediction, recommender systems, reinforcement learning, or causal inference
- Strong Python proficiency and modern ML tooling experience
- Experience deploying models to production on cloud platforms such as AWS SageMaker
- Ability to translate business questions into technical problems and communicate tradeoffs to non-technical stakeholders
Nice to have
- Background in healthcare, digital health, health plans, PBMs, or other regulated industries
- Peer-reviewed publications, conference presentations, or white papers in machine learning, reinforcement learning, causal inference, or health AI