Sr Associate– Image Analysis & Digital Pathology
Core
Develop and apply computational pathology and AI/ML methods to support translational research, biomarker discovery, and precision medicine initiatives.
Role type
Senior IC computational imaging scientist (digital pathology)
Builds
Scalable image analysis workflows and quantitative insights from whole-slide pathology and spatial biology datasets
Domain
Biotechnology / Computational Pathology / AI in Healthcare
Deliverable
production ML models
Required skills
Computer vision, Image analysis, Machine learning, Deep learning, Python, Tissue segmentation, Cell phenotyping, Feature extraction, Spatial analysis, Cloud computing
Preferred skills
Digital pathology experience, H&E/IHC/multiplex IF analysis, Whole-slide imaging tools (QuPath, HALO), Scientific computing libraries, Representation learning
Technologies
PyTorch, TensorFlow, Python, OpenSlide, QuPath, HALO, Visiopharm
Responsibilities
Design and implement analysis pipelines for WSI and spatial omics datasets; Build reproducible workflows using Python and ML frameworks; Collaborate with pathologists to interpret image-derived biomarkers; Support deployment of pipelines in cloud or HPC environments.
Seniority
Senior, hands-on IC
