Laboratory Research Assistant conducting data collection for clinical device trials at UHS locations in New York. Responsible for maintaining data integrity and compliance with research protocols.
About the role
- Research Scientist conducting applied research on healthcare data at Phare using AI technologies. Designing experiments and collaborating with MLOps to create measurable impact in the healthcare industry.
Responsibilities
- 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
Requirements
- 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)
Benefits
- Annual bonus plan at a target of 20.00%
- Competitive benefits package
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