Summer 2026 - Computational Biology in Neurodegeneration Internship

Internship Opportunity: Translational Neuroscience Research In Alzheimer's Disease

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Position Summary

This internship focuses on supporting translational neuroscience research in Alzheimer's diseasea progressive neurodegenerative disorder affecting millions worldwide. The intern will analyze RNA-seq and proteomics data from blood and cerebrospinal fluid (CSF), integrated with neuropathology and clinical data from publicly available Alzheimer's disease cohorts. Key responsibilities include identifying molecular features associated with disease staging and developing predictive models of neuropathological burden. The intern will collaborate with computational biologists to deliver analytical insights that inform patient stratification, asset differentiation, and mechanism-of-action studies in early-stage neuroscience research.

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

Key Responsibilities

• Conduct linear and nonlinear association analyses to link blood and CSF bulk RNA-seq and proteomics data with postmortem neuropathology staging.
• Use standard workflows for RNA-seq and proteomics dataincluding quality control, normalization, covariate adjustment, and batch correctionto identify genes, pathways, or gene networks associated with disease staging and relevant gene sets.
• Build and validate supervised models, such as logistic regression and random forest, to predict neuropathology staging using molecular data and clinical covariates.
• Develop version-controlled analysis reports using tools like Quarto or Jupyter to facilitate transparent and reproducible knowledge sharing.

Qualifications & Experience

• Graduate student with training/experience in neuroscience, computational biology, bioinformatics, or related program
• A background or current emphasis in computational biology methods, with demonstrated ability in statistical modeling and/or machine learning.
• Prior experience analyzing RNA-seq data (e.g., bulk, single-cell, or spatial).
• Proficiency in R and/or Python for data analysis and visualization.
• Experience with Git and reproducible workflows
• All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment. Please note that immigration or visa sponsorship is not available for this position.

This is a temporary, time-bound position intended for the duration of the internship or co-op program. Employment in this role does not imply or guarantee ongoing or permanent employment with BMS.

The starting hourly compensation for this assignment is within the range of $29.00 to $35.00/hr. Please note that the final individual compensation and any applicable benefits will be determined by your employer of record (and not BMS). Factors influencing this decision may include the characteristics of the assignment, such as demonstrated experience, required skill, and the geographic location of the job. Compensation details are subject to change.

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.