Data Scientist, Medical Imaging
Core
Build reproducible pipelines to prepare, segment, and analyze medical images, linking imaging results to clinical data for machine learning to support biomedical research.
Role type
Senior IC data scientist (medical imaging & AI)
Builds
Production Python pipelines, AI models for segmentation/classification, and multimodal models combining imaging with clinical data
Domain
Biomedical research, medical imaging, clinical informatics
Deliverable
production ML models
Required skills
Python (scientific computing, deep learning), medical image analysis (segmentation, classification, embeddings), traditional image analysis (registration, normalization, feature extraction), clinical data integration (DICOM, NIfTI, vocabularies), model evaluation & validation, Linux/containers
Preferred skills
Nextflow/workflow orchestration, EHR data models (OMOP, FHIR), multimodal foundation models, microscopy/digital pathology, SQL, publications in medical imaging/ML
Technologies
Python, PyTorch/TensorFlow, DICOM, NIfTI, Nextflow, Docker, Kubernetes, Linux, SQL, OMOP, FHIR
Responsibilities
Build and maintain Python pipelines for large medical imaging collections; Develop and evaluate AI models for segmentation, classification, and embeddings; Apply traditional image analysis methods and combine with ML; Build multimodal models integrating imaging with clinical data; Integrate imaging results with patient records and outcomes; Run scalable workflows using orchestration and cloud computing; Collaborate with clinicians and scientists to define questions and interpret results
Seniority
Senior, hands-on IC
