Computational Pathology Scientist

What you'll do

• Apply machine learning and computer vision models to digital pathology data for drug discovery and development.
• Execute histopathological endpoint extractions and spatial analyses of tissue-based imaging data.
• Curate and prepare large imaging datasets for project analysis and training of deep learning models.
• Develop and optimize scalable computational pathology workflows using internal, commercial, and open-source tools.
• Translate scientific questions into actionable analytic plans and manage projects from planning through delivery.
• Communicate technical findings and recommendations to both expert and non-expert stakeholders via reports and presentations.
• Manage data quality, documentation, and risk assessment for high-throughput pathology imaging workflows.

What we're looking for

• A Bachelor's degree and six years of experience or a Master's degree and four years of experience are required.
• Proficiency in Python and/or MATLAB for image processing and computer vision is required.
• Experience with deep learning libraries such as PyTorch, Pandas, scikit-learn, NumPy, OpenSlide, OpenCV, MONAI, or Elastix is required.
• Expertise in applying machine learning and deep learning models to imaging data is required.
• Ability to manage computational projects from planning through delivery is required.
• Experience with medical image data formats and large pathology images like WSI, CODEX, and ST is preferred.
• Experience using Visiopharm or similar commercial image-analysis platforms for pathology is preferred.
• Advanced degrees in quantitative disciplines such as Computer Science, Physics, or Statistics are preferred.