Research Engineer / Research Scientist, Health
OpenAI· Research
San Francisco$295k - $555kFull-timePosted 2mo ago
About the role
Hands-on researcher to build frontier health capabilities and drive measurable impact in health-related AI at OpenAI, focusing on pretraining, RL/post-training, evals, and health-specific capabilities; role combines research leadership with practical implementation to improve health reasoning, reliability, and real-world outcomes.
Responsibilities
- Own a high-leverage research direction end to end—from deciding which problem matters and how to measure it, to designing and running experiments, to integrating successful work into frontier models.
- Develop scalable methods across pretraining, midtraining, reinforcement learning, and post-training to improve health reasoning, knowledge, reliability, calibration, and behavior.
- Build and study RL environments grounded in real health problems; understand which data and training setups produce robust, generalizable improvements rather than just higher benchmark scores.
- Create meaningful, trustworthy, and unsaturated evaluations that tell us whether our models are actually getting better at what matters for patients and clinicians.
- Advance new 0→1 capabilities in health that may have an increasing impact with upcoming increases in model intelligence and test-time compute.
- Develop models and agents that can work over longitudinal, multimodal health data to produce useful predictions, surface new scientific insights, and support better individual- and population-level decisions.
- Work closely with researchers, engineers, clinicians, and product teams to bring health capabilities into the models and products used by hundreds of millions of people.
- Help establish that AI improves real health outcomes, not just that it can produce impressive answers or demos.
Qualifications
- Care deeply about using increasingly capable AI to improve human health, and take seriously the responsibility of deploying it safely.
- Have an unusually strong track record in machine learning or AI research, with the depth to push at least one important area forward: pretraining, reinforcement learning / post-training, evals (not necessarily specific to health); or substantial depth in a relevant frontier health / biomedical AI problem.
- Are a hands-on builder: you can design experiments, write and debug code, work directly with data and training infrastructure, and move quickly from an idea to evidence.
- Have strong research taste and can distinguish an important problem or a promising approach from an interesting one.
- Own ambiguous problems end to end, and are willing to learn whatever is missing to get the job done.
- Stay goal-oriented rather than method-oriented, and don’t shy away from unglamorous work if it is the highest-leverage path to impact.
- Care about whether a capability will scale, generalize, and make it into the real world—not just whether it can be shown in a paper or prototype.
- Enjoy working with low-ego, ambitious people across research, engineering, medicine, and product.
- Bonus: Experience with health AI, longitudinal health data, or clinical research.
Skills
Required:Research leadership and directionPretraining, RL/post-training, evalsExperiment design and code implementationEvaluation and validationCross-functional collaboration
Nice to have:Health data handling
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Last updated Sep 3, 2026. Interested? Apply on the company site.
About OpenAI
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