Principal Scientist, Translational Informatics and Predictive SciencesThe 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 WorkWhere 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.
