Summer 2026 - Digital Pathology Internship
Bristol Myers Squibb
Full-time
Remote friendly (Brisbane, CA)
United States
Clinical Research and Development
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Role Summary
Summer 2026 - Digital Pathology Internship. The Imaging AI team applies advanced computer vision, deep learning, and bioinformatics to derive insights from digital pathology data. The internship provides hands-on experience with AI-driven image analysis methods on large-scale histopathology datasets and opportunities to collaborate across disciplines at the intersection of digital pathology and precision medicine. The full-time internship runs June–August 2026.
Responsibilities
- Curate and preprocess histopathology datasets (H&E and/or multiplex immunofluorescence) using open-source and commercial digital pathology tools
- Apply and adapt open-source deep learning models for tissue and cell segmentation, classification, and multi-modal image registration
- Visualize and interpret model outputs through heatmaps, overlays, or other interpretable AI methods
- Collaborate with cross-functional teams to validate model results and assess biological significance
- Document workflows, results, and code according to best practices for reproducible research
- Present findings and project progress to scientific peers through presentations and written reports
Qualifications
- Graduate student (M.S. or Ph.D.) in biomedical engineering, bioinformatics, computer science or related fields
- Experience with training, validating and refining image-based deep-learning models
- Strong programming skills in Python for image analysis; familiarity with PyTorch, TensorFlow
- Knowledge of computer vision techniques such as segmentation and registration, ideally applied to biomedical or microscopy images
- Understanding of or interest in oncology, pathology, and spatial biology; prior exposure to histopathology data is a plus
- Familiarity with digital pathology software (e.g., QuPath, HALO, or VisioPharm) is desirable but not required
- Strong problem-solving ability, excellent communication skills, and willingness to collaborate across disciplines
- Authorized to work in the US for the duration of employment; visa sponsorship not available
Skills
- Python programming for image analysis
- Deep learning frameworks (PyTorch, TensorFlow)
- Digital pathology tools and techniques
- Data curation and reproducible research practices
- Communication and collaboration across interdisciplinary teams
Education
- Graduate-level enrollment required (M.S. or Ph.D.) in a related field