Summer 2026 - Translational Bioinformatics Internship at Bristol-Myers Squibb

The intern will apply predictive modeling to identify biomarkers for STK11 or KEAP1 genetic variations, utilize spatial transcriptomic data to characterize molecular features in NSCLC, and work on flexible deliverables tailored to their interests and skills.

Candidates must be currently enrolled in a PhD program in bioinformatics, computational biology, biostatistics, or a related quantitative field, with proficiency in at least one scripting language (R preferred), familiarity with data reproducibility best practices, and experience analyzing spatial transcriptomics data and/or building prediction models using omics data.

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

The environment is challenging, meaningful, and life-changing, with uniquely interesting work, opportunities to grow alongside high-achieving teams in a collaborative, cross-functional team in a dynamic R&D setting, and a focus on balance and flexibility.

Strong candidates are PhD students in relevant quantitative fields with hands-on experience in spatial transcriptomics or omics prediction models, proficiency in R or scripting, data reproducibility practices like Git, plus a foundation in cancer biology, excellent communication skills, and US work authorization.