Research Scientist
Core
Design and develop novel modeling approaches for clinical intelligence, driving research from problem definition to validated results to impact real patient outcomes.
Role type
Senior/Staff Machine Learning Research Engineer
Builds
Verifiable reinforcement learning systems, foundation model training pipelines, and clinical intelligence models
Domain
Healthcare / Clinical AI / Longitudinal Patient Data
Deliverable
production ML models
Required skills
Machine learning, deep learning, PyTorch, experimental design, model evaluation, tradeoff analysis between capability/interpretability/verifiability, independent operation in high-ambiguity environments
Preferred skills
Publications at top-tier ML venues, LLMs/NLP/sequence modeling, reinforcement learning, alignment methods, longitudinal/structured data at scale, clinical/biomedical domain experience
Technologies
PyTorch, foundation models, reinforcement learning
Responsibilities
Own research initiatives end-to-end (formulation, design, modeling, evaluation), develop novel architectures and training methods, work on verifiable RL and foundation model training, design rigorous evaluation methodologies, make tradeoffs in high-stakes settings, collaborate with clinicians and engineers
Seniority
Senior/Staff, hands-on IC with end-to-end ownership
