Bristol Myers Squibb-posted 2 months ago
$35 - $43/Yr
Full-time • Intern
Hybrid • Madison, WI
5,001-10,000 employees
Chemical Manufacturing

We are seeking a highly motivated student to join our early (preclinical) R&D group for a paid 10-week summer internship. The successful candidate will work with a mentor to apply algorithmic, statistical, systems biology, and data mining approaches to large-scale biological datasets to identify candidate gene combinations relevant to logic-gated targeting. The intern will join the multidisciplinary Predictive Biology and AI (PBAI) team and collaborate with disease subject matter experts, particularly in immuno-oncology. At the end of the program, they will present their results to the broader Informatics and Predictive Sciences division. This internship provides a unique opportunity to gain experience in computational biology, immuno-oncology, and data-driven drug discovery within an industry setting. The full-time internship will take place June - August 2026.

  • Develop and apply systems biology algorithms and machine learning methods
  • Mine large databases of genomics data
  • Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states
  • Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion
  • Deliver and communicate analysis results to the team
  • Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences
  • Strong foundation in biochemistry, cancer biology, or immunology
  • Experience in applied statistics and machine learning
  • Experience with RNA sequencing (bulk and/or single-cell)
  • Proficiency in R or Python
  • Ability to work full-time for the program's duration
  • Excellent communication and presentation skills
  • All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment
  • Experience with combinatorial optimization algorithms
  • Experience with spatial transcriptomics data
  • Knowledge of systems biology, network or graph theory
  • Experience with version control systems such as Git/GitHub
  • Experience with SQL
  • Medical, pharmacy, dental and vision care
  • Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP)
  • Financial well-being resources and a 401(K)
  • Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support
  • Work-life programs including paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility
  • Parental, caregiver, bereavement, and military leave
  • Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources
  • Tuition reimbursement and a recognition program
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