Principal Applied Machine Learning Scientist

Omada Health
United States
Workplace: RemoteFull timeUSD 258,720 - 338,100 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Technical leadership","Mentorship","Cross-functional collaboration","Communication","Translation of ambiguous problems"]

Lead applied machine learning research to predict a member’s next health trajectory and determine the next-best intervention most likely to improve outcomes at specific moments. Build individual- and population-level trajectory models from messy longitudinal healthcare data, and design decision and recommendation policies with clinically meaningful evaluation standards. Serve as the senior scientific lead, mentor ML researchers, and partner with product, platform, MLOps, and clinical teams to productionize and monitor algorithms.

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FursaFursa
Omada Health
Omada Health
1 month ago

Principal Applied Machine Learning Scientist

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Last checked: 11 hours agoStatus: Live

Job Summary

Lead applied machine learning research to predict a member’s next health trajectory and determine the next-best intervention most likely to improve outcomes at specific moments. Build individual- and population-level trajectory models from messy longitudinal healthcare data, and design decision and recommendation policies with clinically meaningful evaluation standards. Serve as the senior scientific lead, mentor ML researchers, and partner with product, platform, MLOps, and clinical teams to productionize and monitor algorithms.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead research and development of individual- and population-level health trajectory models to predict future member states, risks, and progression paths using longitudinal healthcare data.
  • •Design next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to a member’s current context.
  • •Research and apply decision and recommendation policies to safely optimize intervention choice, defining objective functions, reward signals, and policy constraints for fairness and clinical effectiveness.
  • •Serve as the senior scientific lead for algorithmic and evaluation rigor, setting standards for problem formulation and publication-quality analysis in trajectories and next-best-action.
  • •Mentor scientists and data scientists in temporal modeling, reinforcement learning, and causal inference, and collaborate with platform, MLOps, and product engineering to productionize and monitor outputs.

Pay and Benefits

Salary: USD 258,720 - 338,100 annually
Equity and Bonus:Equity
Perks:Annual BonusEquityRemote WorkFlexible TimeParental LeaveHealth InsuranceDentalVision401kLifestyle Account

Key Requirements

  • •Ph.D. in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics, or a related quantitative field (or a Master’s with substantial directly related senior experience).
  • •Multiple years of post-secondary experience in machine learning research or applied research science, with a record of delivering novel algorithms or high-impact ML systems in production.
  • •Deep expertise in time-series or longitudinal modeling, healthcare prediction, recommender systems, reinforcement learning, and/or causal inference for trajectories and next-best-action decisioning.
  • •Strong proficiency in Python and modern ML tooling, with experience deploying models into production on cloud platforms such as AWS SageMaker (or equivalent).
  • •Ability to translate ambiguous business questions into well-scoped technical problems and communicate tradeoffs clearly to non-technical stakeholders.
Experience:HealthcareDigital healthHealth plansPBMsHealth AI
Education:PhD / Doctorate
Skills:Technical leadershipMentorshipCross-functional collaborationCommunicationTranslation of ambiguous problems
Languages:English
Tech Stack:PythonAWS SageMakerMLOpsReinforcement learningCausal inference

Company Brief

Omada Health
Provides digital care programs for chronic conditions like diabetes, hypertension, and behavioral health, combining coaching, connected devices, and data-driven interventions to improve health outcomes and reduce costs for employers and health plans.
Industry: Digital Therapeutics
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn