Conduct applied research on real healthcare data
Focus on explainability, reinforcement learning, and long-context information retrieval
Move quickly from concept to deployment
Design experiments and train models at scale
Collaborate with MLOps and product teams to turn ideas into measurable user impact
Code experiments end to end

PhD in computer science or informatics
At least 3 years of industry experience (postdocs considered)
Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX
Research expertise in interpretability, reinforcement learning, retrieval-augmented generation, or long-context information retrieval
Comfortable running large-scale training and evaluation on distributed infrastructure (e.g., Ray, FSDP, Lightning)
Track record of publications at top ML venues (e.g., NeurIPS, ICML, EMNLP, MLHC, CHIL)

Research Scientist

Key skills