Principal Scientist, Translational Informatics and Predictive Sciences
Bristol Myers Squibb · Cambridge Crossing, MA +1 more
ResearchFull-time$167k–$202kCompany career page
The apply link worked recently (not employer-confirmed).
Role summary
Principal Scientist role at Bristol Myers Squibb focused on applying bioinformatics, statistical, and computational biology methods to analyze clinical datasets and identify biomarkers for oncology. The position drives translational insights across the drug development pipeline through collaboration with cross-functional teams.
What they're looking for
- Bachelor's degree with 8+ years experience, or Master's with 6+ years, or PhD with 4+ years
- Experience with high-throughput molecular data such as NGS, single-cell technologies, or proteomics
- Proficiency in R and/or Python with demonstrated AI application experience
- Strong foundational knowledge of statistical methods
- Excellent communication, data visualization, and cross-functional influence skills
- Problem-solving ability, scientific rigor, and growth mindset
What you'll be doing
- Partner with biomarker scientists and clinical teams to design computational strategies for translational studies
- Analyze high-dimensional molecular datasets to understand treatment response and resistance mechanisms
- Develop and apply machine learning methods to extract patterns from multi-omics and real-world datasets
- Provide scientific leadership and mentorship on analytical best practices and AI-enabled approaches
- Communicate complex analyses to R&D leadership and translate findings into actionable strategic recommendations
Privacy & handoff
This role links to Bristol Myers Squibb's own application system. RoleLantern records your interest and checks the link, but the application happens on the employer's site and status updates may not come back to us. Clicking apply does not mark you as applied automatically.