Data Scientist, AI for Biomedical Imaging
Core
Lead AI-enabled image analysis strategies and develop robust algorithms to characterize complex biological phenotypes for early drug discovery.
Role type
Senior IC data scientist (AI for biomedical imaging)
Builds
Scalable, reproducible image analysis workflows and validated AI models for cellular, organoid, and tissue analysis
Domain
Biopharmaceuticals / Biomedical Imaging / Computer Vision
Deliverable
production ML models
Required skills
Deep learning, image segmentation, representation learning, foundation models, Python, PyTorch, Hugging Face, MONAI, scikit-image, OpenCV, Linux HPC
Preferred skills
Self-supervised learning, multimodal AI, embedding-based analysis, agentic coding tools
Technologies
PyTorch, Hugging Face, Lightning, MONAI, scikit-image, OpenCV, napari, Cellpose, StarDist, InstanSeg, OME-Zarr
Responsibilities
Lead AI-enabled image analysis strategies for complex biological imaging workflows; Develop, validate, and deploy robust image analysis algorithms; Drive adoption of advanced AI methods for imaging; Contribute to scalable, reusable image analysis workflows; Identify high-impact opportunities where AI can deliver scientific value
Seniority
Senior, hands-on IC
