Principal Applied Machine Learning Scientist

Omada Health; United States; On-site; USD 258,720 - 323,400; Full time

Benefits offered by this job

Remote-friendly culture

Equity grants

Industry-leading 401k and health plans

Job summary

Omada Health seeks a Principal Applied ML Scientist to lead high-impact research and deployed algorithms that predict member trajectories and optimize interventions in real time.

You will shape health trajectories, design next-best-action policies, and set evaluation standards while mentoring a team of scientists to deliver production-grade ML systems in a healthcare context.

Qualifications

• Ph.D. in Computer Science, Statistics, ML, Biostatistics, Applied Math or related field; Master’s with substantial related experience may be considered for senior level.
• Multiple years of post-secondary research in ML or applied science with novel algorithms or high-impact ML systems.
• Deep expertise in time-series/longitudinal modeling, healthcare prediction, or reinforcement learning/causal inference.
• Strong Python proficiency and experience deploying models on cloud platforms like AWS SageMaker.
• Ability to translate business questions into scoped technical problems and communicate tradeoffs clearly.

Responsibilities

• Lead health trajectory research to predict future member states and risks using longitudinal data.
• Design next-best-action algorithms converting predictions into intervention decisions.
• Define objectives, reward signals, and policy constraints with cross-functional teams.
• Mentor scientists on temporal modeling, reinforcement learning, and causal inference.
• Collaborate with platform, MLOps, and product engineering to productionize research.

Skills

Time-series modeling

Reinforcement learning

Causal inference

Python

Education

Ph.D. in a quantitative field

Master’s with substantial related experience

Tools

AWS SageMaker

Production deployment

Job description

Omada Health is on a mission to bend the curve of chronic disease.

Job Overview

Omada Health is looking for a Principal Applied ML Scientist to lead high-impact research and applied algorithm development focused on predicting where a member is headed next and identifying the intervention most likely to improve outcomes at a specific moment. The role sits at the intersection of machine learning research, causal decisioning, and healthcare product impact, translating longitudinal member data into clinically meaningful and operationally deployable algorithms. This position requires deep technical leadership, strong publication-quality rigor, and the ability to work cross-functionally with product, engineering, and clinical stakeholders.

Your Impact

Health Trajectory Research

• Lead research and development of individual- and population-level health trajectory models that predict future member states, risks, and likely progression paths using messy, real-world longitudinal healthcare data.
• Produce high-quality experimental evidence and technical recommendations that can lead to tangible product features and have a real impact on individual and population health trajectories.

Next Best Action Algorithms

• Lead the design of next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to a member’s current context and likely future path.
• Research and apply advanced decision and recommendation policies to safely optimize intervention choice in a healthcare environment.
• Define objective functions, reward signals, and policy constraints that balance engagement, clinical effectiveness, fairness, and operational feasibility, partnering with product and clinical teams to ensure outputs are actionable and interpretable.

Technical Leadership

• Serve as the senior scientific lead for algorithmic and evaluation rigor in trajectories and next-best-action, setting standards for problem formulation, evaluation, and publication-quality analysis.
• Mentor other scientists and data scientists on advanced methods in temporal modeling, reinforcement learning, and causal inference.
• Collaborate closely with platform, MLOps, and product engineering teams to ensure research outputs can be productionized reliably and monitored appropriately.

About You

• Ph.D. in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics or a related quantitative field is required, will consider a Master’s with substantial, directly related experience at a senior level.
• Multiple years of post-secondary education experience in machine learning research or applied research science, with a strong 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, causal inference, or adjacent research areas relevant to trajectories and next-best-action decisioning.
• Strong proficiency in Python and modern ML tooling, along with experience deploying models into production environments on cloud platforms such as AWS SageMaker or equivalent.
• Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design.

Bonus Points for

• Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries.
• Peer-reviewed papers, conference presentations or white papers in machine learning, reinforcement learning, causal inference or health AI.
• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

Values

• Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
• Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
• Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
• Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.
• Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.
• Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health

Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

Salary

Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.

Zone 1: $270,480 - $338,100

Zone 2: $258,720 - $323,400

Zone 3: $235,200 - $294,000

Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.

*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity.