The opportunity
The Health team, within OpenAI’s broader Personal AGI organization, has a mission to ensure AGI improves health for all humanity.
What you'll do
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.
What they're looking for
- 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.
- 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.
