Computational Pathology Scientist
Gilead Sciences
September 03, 2026
Remote friendly (San Francisco Bay Area)
United States
Clinical Research and Development
Job Description
- Apply, evaluate, and validate computational pathology approaches, advanced analytics, and computer vision tools for histopathological endpoints, imaging biomarkers, and spatial analyses.
- Collaborate with cross-functional scientific colleagues to design and execute analytic strategies.
- Curate and prepare large imaging datasets; when needed, train or adapt targeted deep learning and pathology foundation models.
- Improve imaging data management and workflows to increase reliability, efficiency, or scalability.
- Communicate findings, progress, and recommendations via reports, presentations, and publications.
- Lead assigned projects from planning through execution, QC, documentation, and delivery of outputs.
Basic Qualifications
- Bachelor’s degree + 6 years’ experience
OR
- Master’s degree + 4 years’ experience
Preferred Qualifications (highlights)
- Advanced degree in quantitative discipline (CS, BE, Physics, Math, Statistics, or related).
- Publication record in deep learning/ML/statistics, especially digital pathology.
- Experience with medical image formats/large pathology images (WSI, CODEX, ST).
- Strong Python and/or MATLAB; deep learning/image libraries (PyTorch, Pandas, scikit-learn, NumPy, OpenSlide, OpenCV, MONAI, Elastix).
- Experience with CNNs, segmentation/classification, and transformer-based models; classical ML (Logistic Regression, Random Forest, SVM).
- Knowledge of optimization, registration, segmentation, classification, predictive modeling.
- Experience with end-to-end ML/DL/AI projects and scientific communication.
People Leader Accountabilities
- Create Inclusion; Develop Talent; Empower Teams.
Compensation/Benefits
- Salary range: $146,540.00–$189,640.00; may include discretionary bonus/stock incentives, paid time off, and medical/dental/vision/life insurance.
Application Instructions
- Apply via the Internal Career Opportunities portal in Workday.
- Apply, evaluate, and validate computational pathology approaches, advanced analytics, and computer vision tools for histopathological endpoints, imaging biomarkers, and spatial analyses.
- Collaborate with cross-functional scientific colleagues to design and execute analytic strategies.
- Curate and prepare large imaging datasets; when needed, train or adapt targeted deep learning and pathology foundation models.
- Improve imaging data management and workflows to increase reliability, efficiency, or scalability.
- Communicate findings, progress, and recommendations via reports, presentations, and publications.
- Lead assigned projects from planning through execution, QC, documentation, and delivery of outputs.
Basic Qualifications
- Bachelor’s degree + 6 years’ experience
OR
- Master’s degree + 4 years’ experience
Preferred Qualifications (highlights)
- Advanced degree in quantitative discipline (CS, BE, Physics, Math, Statistics, or related).
- Publication record in deep learning/ML/statistics, especially digital pathology.
- Experience with medical image formats/large pathology images (WSI, CODEX, ST).
- Strong Python and/or MATLAB; deep learning/image libraries (PyTorch, Pandas, scikit-learn, NumPy, OpenSlide, OpenCV, MONAI, Elastix).
- Experience with CNNs, segmentation/classification, and transformer-based models; classical ML (Logistic Regression, Random Forest, SVM).
- Knowledge of optimization, registration, segmentation, classification, predictive modeling.
- Experience with end-to-end ML/DL/AI projects and scientific communication.
People Leader Accountabilities
- Create Inclusion; Develop Talent; Empower Teams.
Compensation/Benefits
- Salary range: $146,540.00–$189,640.00; may include discretionary bonus/stock incentives, paid time off, and medical/dental/vision/life insurance.
Application Instructions
- Apply via the Internal Career Opportunities portal in Workday.