Computational Pathology Scientist

What you'll do

• Apply AI, machine learning, and computer vision to digital pathology data to support drug discovery and development.
• Execute image analysis workflows to extract histopathological endpoints and perform spatial analysis of tissue-based imaging data.
• Develop and validate computational pathology approaches for imaging biomarkers across discovery and clinical pipelines.
• Curate and prepare large imaging datasets for project analyses and deep learning model training.
• Lead projects from planning through execution, including quality control, documentation, and delivery of organized outputs.
• Translate scientific questions into actionable analytic plans and communicate findings to both expert and non-expert stakeholders.
• Improve data management and workflow scalability to increase the reliability of project-facing computational analyses.

What we're looking for

• Bachelor's Degree and Six Years' Experience OR Masters' Degree and Four Years' Experience.
• Strong programming skills in Python and/or MATLAB applied to image processing and computer vision.
• Proficiency with deep learning, data science, and image processing libraries such as PyTorch, Pandas, scikit-learn, NumPy, OpenSlide, OpenCV, MONAI, or Elastix.
• Experience applying deep learning models to imaging data, including CNNs, segmentation and classification architectures, and transformer-based models.
• Experience managing computational projects from planning through delivery.
• Experience analyzing whole-slide images and large pathology imaging datasets from internal, public, or commercial sources.
• Advanced degree in a quantitative discipline (Computer Science, Biomedical Engineering, Physics, Mathematics, Statistics, or a related field) (preferred).
• Publication record in deep learning, machine learning, or statistics, particularly in digital pathology (preferred).