Computational Pathology Scientist
Core
Apply AI, machine learning, and image analysis to digital pathology data to support drug discovery and development in oncology, virology, fibrosis, and inflammation.
Role type
Senior IC imaging data scientist (computational pathology)
Builds
Scalable computational pathology analyses and imaging biomarker solutions for discovery and clinical drug development pipelines.
Domain
Biopharmaceuticals / Digital Pathology / Medical AI
Deliverable
production ML models
Required skills
Python, computer vision, deep learning, image analysis workflows, histopathological endpoint extraction, spatial analysis of tissue-based imaging data, data curation, project management, cross-functional collaboration
Preferred skills
Visiopharm or similar commercial image-analysis platforms, brightfield IHC and multiplex IF image analysis, PyTorch, Pandas, scikit-learn, NumPy, OpenSlide, OpenCV, MONAI, Elastix, CNNs, segmentation and classification architectures, transformer-based models, classical machine learning algorithms (Logistic Regression, Random Forest, SVM), mathematical and statistical foundations of ML, whole-slide image analysis, cell biology and microscopy
Technologies
PyTorch, Pandas, scikit-learn, NumPy, OpenSlide, OpenCV, MONAI, Elastix, Visiopharm
Responsibilities
Apply and validate computational pathology approaches and computer vision tools for histopathological endpoints and imaging biomarkers; collaborate with scientific colleagues to design analytic strategies for tissue-based endpoints; curate and prepare large imaging datasets for project analyses; contribute to imaging data management and workflow improvements; communicate findings and recommendations to stakeholders; lead assigned projects from planning through delivery.
Seniority
Senior, hands-on IC