Summer 2026 - Digital Pathology Internship at Bristol-Myers Squibb

Brisbane, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Pharmaceuticals, BiotechnologyIndustries

Requirements

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 especially for image analysis tasks
Familiarity with deep learning frameworks such as PyTorch, TensorFlow
Knowledge of computer vision techniques such as segmentation, 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 work collaboratively across disciplines
All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment (no immigration or visa sponsorship available)

Responsibilities

Curate and preprocess histopathology datasets (H&E and/or multiplex immunofluorescence) using a mix of open-source and commercial digital pathology tools
Apply and adapt open-source deep learning models for tasks such as 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 both presentations and written reports

Skills

Key technologies and capabilities for this role

Deep LearningComputer VisionBioinformaticsDigital PathologyHistopathologyMultiplex ImagingTissue SegmentationCell SegmentationImage Registration

Questions & Answers

Common questions about this position

What are the key responsibilities of the Digital Pathology Internship?

Responsibilities include curating and preprocessing histopathology datasets, applying deep learning models for segmentation and registration, visualizing model outputs, collaborating with teams, documenting workflows, and presenting findings.

What qualifications are required for this internship?

Candidates must be graduate students (M.S. or Ph.D.) in biomedical engineering, bioinformatics, computer science or related fields, with experience training, validating, and refining image-based deep-learning models, and strong Python programming skills for image analysis.

When does the internship take place and is it full-time?

The full-time internship will take place June – August 2026.

What is the compensation or salary for this internship?

This information is not specified in the job description.

What does the company culture at Bristol Myers Squibb feel like?

The culture is described as challenging, meaningful, and life-changing, with uniquely interesting work, opportunities to grow alongside high-achieving teams, and a focus on balance and flexibility.

Bristol-Myers Squibb

Develops and delivers biopharmaceutical medicines

About Bristol-Myers Squibb

Bristol Myers Squibb (BMS) develops and delivers medicines aimed at treating serious diseases, focusing on areas like cancer, autoimmune diseases, and heart conditions. The company conducts extensive research and development to create new drugs, which are sold after receiving regulatory approval. BMS also produces generic drugs, offering affordable alternatives that meet the same quality standards as their branded counterparts. What sets BMS apart from competitors is its dual focus on both innovative and generic medicines, enhancing access to healthcare. The company's goal is to improve patient outcomes while maintaining a commitment to sustainability and corporate responsibility.

New York City, New YorkHeadquarters

1887Year Founded

$33,706.1MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Benefits

Flexible Work Hours

Hybrid Work Options

Professional Development Budget

Risks

Increased competition in oncology from emerging biotech firms like ArsenalBio.

BMS's lawsuit over the 340B Drug Pricing Program may lead to regulatory challenges.

Rapid AI and digital tech evolution may pose integration challenges for BMS.

Differentiation

BMS focuses on innovative cancer treatments through collaborations like ArsenalBio for T cell therapies.

The company emphasizes digital health technologies, enhancing clinical trial management and patient engagement.

BMS offers both innovative and generic medicines, increasing affordable healthcare solutions.

Upsides

BMS's partnership with Medidata enhances clinical research processes and patient outcomes.

The collaboration with AI Proteins advances novel miniprotein-based therapeutics, expanding therapeutic modalities.

BMS's global license agreement with BioArctic expands its portfolio in neurodegenerative diseases.

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