Scientist, Early Translational Informatics and Predictive Sciences - Neuroscience

Overview

Working with Us Challenging. Meaningful. Life-changing. Those words are often associated with a job. At Bristol Myers Squibb (BMS), work across departments aims to transform lives of patients and advance careers. You’ll 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. Read more at

Scientist, Early Translational Informatics and Predictive Sciences - Neuroscience

When you join BMS, you are joining a diverse, high‑achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to pioneer, partner and predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas including genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning across the full lifecycle of drug discovery and development and across all therapeutic areas  perform innovative science to empower data‑driven decisions across a rich pipeline of next‑generation medicines.

This work transforms the lives of patients, as well as our own lives and careers. We seek a creative and passionate computational scientist to join the Early Translational Neuroscience team within IPS. You will analyze data from disease cohorts to identify biomarkers predictive of patient outcomes and response to therapy, leverage cutting‑edge AI/ML methods on large datasets, uncover novel insights, and enhance predictive modeling.

This is a highly collaborative role that supports biomarker, diagnostic and clinical development.

• Analyze multi‑dimensional biomarker data generated from human subjects in clinical trials and other observational cohorts (e.g., RNA‑Seq, high‑throughput proteomics, imaging) to validate pharmacodynamics effects, confirm mechanism of action, and enable patient enrichment strategies.
• Conduct innovative translational research by integrating multi‑modal datasets, mining large‑scale external databases, and applying AI/ML methods to advance understanding of neurodegenerative and neuropsychiatric disorders.
• Collaborate with translational teams to extract insights, generate hypotheses, and guide drug development decisions in early clinical development of new therapeutics.

• Bachelor's Degree with 5+ years of academic/industry experience
• or Master’s Degree with 3+ years of academic/industry experience
• or PhD with no required experience

• Ph.D. in bioinformatics, molecular biology, genetics, engineering, statistics, or similar
• Two or more years of relevant experience in preclinical or clinical research
• Proficiency using R; 1+ additional programming language preferred
• Strong foundations in statistical modeling, machine learning, and AI/ML tools
• Ability to analyze, integrate, and interpret multi‑dimensional biological datasets including transcriptomics, proteomics, single‑cell omics, and imaging
• Strong problem‑solving and collaboration skills, rigorous and creative thinking
• Background in neuroscience, especially neurodegenerative disease, is a plus

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.

Cambridge Crossing $141,150 - $171,042. The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job‑related knowledge,…