Scientist, Early Translational Informatics and Predictive Sciences - Neuroscience

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. Read more:  .

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 that include 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  do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.

We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.

Here, you'll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You'll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

We seek a creative and passionate computational scientist with a strong interest in addressing translational questions to join the Early Translational Neuroscience team within IPS. In this innovative role, you will analyze a wide range of data types from disease cohorts to identify biomarkers predictive of patient outcomes and response to therapy. You will leverage cutting-edge AI/ML methods to handle and interpret large datasets, uncover novel insights, and enhance predictive modeling capabilities.

This is a highly collaborative role that empowers you to drive discovery and innovation, as well as to support biomarker, diagnostic and clinical development.

Analyze multi-dimensional biomarker data generated from human subjects in clinical trials and other observational cohorts - including RNA-Seq, high-throughput proteomics, and imaging data - to validate pharmacodynamics effects, confirm the 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 towards the goal of furthering our understanding of neurodegenerative and neuropsychiatric disorders.

Work collaboratively with translational teams to extract insights, generate hypotheses, and guide drug development decisions in early clinical development of new therapeutics.

• Bachelor's Degree 5+ years of academic / industry experience

• or Master's Degree 3+ years of academic / industry experience

• or PhD No experience required

• Ph.D. in bioinformatics, molecular biology, genetics, engineering, statistics, or similar.
• Two (2) or more years of relevant experience in preclinical or clinical research.
• Proficiency using R required and 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,…