Member of Technical Staff, Research Engineer
Core
Develop novel AI methods for clinical outcomes prediction and treatment response using multi-modal data to assist physicians.
Role type
Research Engineer (Clinical AI)
Builds
Clinical AI tools and production-ready ML models for precision medicine
Domain
Healthcare / Clinical AI / Multi-modal AI
Deliverable
production ML models
Required skills
Python, PyTorch, self-supervised learning, survival analysis, multi-modal learning, causality, interpretability, GPU optimization, deep learning, statistics, linear algebra, probability
Preferred skills
Publications in A* conferences (ICML, ICLR, NeurIPS, CVPR), experience in computational pathology
Technologies
PyTorch, GPU clusters, cloud inference pipelines
Responsibilities
Implement novel ML models for self-supervised learning, survival analysis, and causality; translate research papers into production code; build model evaluation frameworks; develop data preprocessing pipelines; optimize code for GPU clusters; deploy models to cloud; co-author research papers.
Seniority
Mid-level IC Research Engineer
