Senior Scientist, Neuroscience, Immunology, and CV (NIC) Translational Informatics and Predictive Sciences

Bristol Myers Squibb's Informatics and Predictive Sciences (IPS) organization is seeking 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. 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.

In support of an exciting late-stage NIC portfolio, your responsibilities will include patient subgroup stratification, biomarker discovery for treatment response and resistance, and mechanistic analyses to support life cycle management and indication expansion. You will also contribute to reverse translation, leveraging clinical insights to inform early research and drive bedside-to-bench innovation. Your work will directly impact the development of novel therapies for patients with neurodegenerative and neuropsychiatric, autoimmune, and cardiovascular disorders.

Key Responsibilities

• 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 to build comprehensive understanding of disease mechanisms and patient heterogeneity, identify non-responders to standards of care with unmet medical needs, and generate testable hypotheses for drug differentiation, combination strategies, and novel indication opportunities.
• Optimize reverse translation by applying 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; participate in authorship of scientific reports and present methods and conclusions to publishable standards.

Basic Qualifications

• 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.

Preferred Qualifications

• 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 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.
• Track record (such as scientific publications) in driving and advancing research projects/programs with computational approaches.
• Strong oral and written communication skills.

Compensation Overview: Princeton, NJ: $128,890 - $156,179. Cambridge Crossing, MA: $148,210 - $179,601. The starting compensation range(s) for this role are listed above for a full-time employee.