Senior Scientist, Neuroscience, Immunology, and CV; NIC Translational Informatics and Predictive Sc

We seek a creative and passionate computational biologist with a strong background in clinical data analysis to join the Neuroscience, Immunology, and Cardiovascular (NIC) Translational Informatics team within Informatics and Predictive Sciences (IPS). In this role, you will use machine learning and advanced statistical approaches to analyze high‑dimensional data from late‑stage clinical trials and longitudinal patient cohort profiling.

• Analyze high‑dimensional datasets from late‑stage clinical trials and multi‑modal real‑world datasets from commercial partners, pre‑competitive consortiums, and public resources.
• Work with diverse data modalities, including clinical data (ADaM/SDTM), high throughput proteomics (e.g., Olink), RNA‑Seq, epigenetics, and multiplex flow cytometry.
• Perform deep and innovative analyses of these data to build comprehensive understanding of disease mechanisms and patient heterogeneity, identify non‑responders to standards of care with unmet medical needs, generate testable hypotheses for drug differentiation, combination strategies, and novel indication opportunities.
• Optimize reverse translation through application of late‑stage clinical data sets to inform early‑stage clinical trials and the discovery pipeline, in close collaboration with teams across Research and Development, including bioinformaticians, statisticians, biologists, biomarker leads, and clinicians.
• Communicate findings and recommend follow‑up actions in multiple settings (including 1:1, seminars, and team meetings). Participate in authorship of scientific reports and present methods and conclusions to publishable standards.

• Bachelor's degree with 6+ years of academic/industry experience, or
• Master's degree with 4+ years of experience, or
• PhD with 2+ years of experience in computational biology or a related field

• PhD from a recognized institution in a quantitative field such as computational biology or related
• Experience analyzing clinical data from interventional clinical trials, including integration of structured clinical endpoints (e.g., ADaM/SDTM), biomarker data (e.g., lab measures), and longitudinal assessments to support pharmacodynamic analyses, as well as the identification of predictive, prognostic, or surrogate endpoint biomarkers.
• Experience analyzing and integrating high‑dimensional molecular datasets such as multi‑omics (proteomics, RNA‑seq), single cell (scRNA‑seq), and spatial transcriptomics
• Advanced hands‑on knowledge of at least one high‑level programming language such as R or Python for computational and reproducible research practices
• Experience with modern AI‑assisted coding tools and applying AI/machine learning approaches to translational research problems preferred
• Track record (such as scientific publications) in driving and advancing research projects/programs with computational approaches
• Strong oral and written communication skills

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs.
• Financial Well‑being and Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, and other supplemental benefits.
• Paid Time Off: Flexible time off, paid national holidays, and optional unpaid volunteer days; additional leave options available for medical, personal, and family reasons.

BMS is an equal opportunity employer and encourages qualified applicants of all backgrounds to apply. Reasonable accommodations are available upon request.

We do not solicit any sensitive personal information during the application process.