Principal Scientist, Translational Informatics and Predictive Sciences
About The Position
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.
Requirements
- 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
- 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.
Nice To Haves
- 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.
Responsibilities
- Partner with biomarker scientists, clinical development teams, and preclinical researchers to design and execute computational strategies for clinical and translational studies.
- Analyze high-dimensional molecular datasets to generate mechanistic insights into treatment response and resistance.
- 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.
- Provide scientific leadership and mentorship, shaping analytical best practices and elevating the use of AI-enabled approaches across the team.
- Communicate scientific results clearly and persuasively to decision-making bodies across R&D, translating complex analyses into actionable recommendations that influence cross-functional strategy.
Benefits
- wellbeing support
- retirement and financial protection benefits
- insurance offerings (medical, dental, vision, life and disability)
- Flexible Time Off (FTO)
- 11 paid company holidays each year
- 160 hours of paid vacation annually for new hires
- 3 optional holidays
- paid sick leave
- up to two paid volunteer days per year
- summer hours flexibility
- leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs
- annual Global Shutdown between Christmas Day and New Year's Day
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What This Job Offers
Job Type
Full-time
Career Level
Principal
