Principal Scientist, Translational Informatics and Predictive Sciences

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Principal Scientist, Translational Informatics and Predictive Sciences

When you join BMS, you are joining a 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 at BMS. We 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.

The Principal Scientist will apply cutting-edge bioinformatics, statistical, modeling, and computational biology approaches to analyze large-scale clinical datasets and drive translational insights across the BMS solid tumor oncology portfolio. This role focuses on both clinical and real-world patient datasets to discover biomarkers, elucidate disease biology, and inform development strategies for the pipeline.

The Principal Scientist will have a direct impact on advancing therapies for patients and accelerating scientific understanding of disease biology and therapeutic response.

Essential to this role are the ability to harness the potential of AI, to translate data and analysis into scientific impact, and to think creatively about complex scientific problems.

Position Responsibilities

• •You will partner with biomarker scientists, clinical development teams, and preclinical researchers to design and execute computational strategies for clinical and translational studies.
• •You will analyze high-dimensional molecular datasets to generate mechanistic insights into treatment response and resistance.
• •You will apply and/or develop ML/AI methods to extract patterns from multi-omics and real-world datasets, including predictive modeling, feature selection, and data integration across modalities.
• •You will provide scientific leadership and mentorship, shaping analytical best practices and elevating the use of AI-enabled approaches across the team.
• •You will communicate scientific results clearly and persuasively to decision-making bodies across R&D, translating complex analyses into actionable recommendations that influence cross-functional strategy.

Education & Experience

• •Bachelor's Degree 8+ years of academic / industry experience
• •Or Master's Degree 6+ years of academic / industry experience
• •Or PhD 4+ years of academic / industry experience

Required Qualifications

• •Experience with high-throughput molecular data, such as next-generation sequencing, single-cell technologies, proteomics, or others.
• •Proficiency in R and/or Python, with a demonstrated ability to leverage AI in scientific work, including hands-on experience with agentic AI coding tools.
• •Strong understanding of fundamental statistical methods.
• •Growth mindset with a passion for continuous learning.
• •Strong problem-solving skills, creativity, and scientific rigor.
• •Excellent communication, data visualization, and presentation skills, with a demonstrated ability to communicate your work and influence cross-functionally.

Preferred Qualifications

• •Experience with spatial ’omics datasets and methods.
• •Demonstrated experience applying machine learning methods to scientific problems.
• •Prior experience in oncology.
• •Prior experience in drug development at a biopharmaceutical company, in translational sciences, discovery, or early clinical development.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview:

• Cambridge Crossing: $166,770 - $202,086 
Princeton - NJ - US: $145,020 - $175,728 

• The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hire