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Principal Scientist, Translational Informatics, Predictive Sciences
Bristol Myers Squibb. Apply bioinformatics, statistical, modeling, and computational biology approaches to analyze large-scale clinical datasets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in bioinformatics and computational biology, with a strong focus on analyzing high-throughput molecular data and applying machine learning methods to derive insights in oncology. Proven ability to communicate complex analyses and influence cross-functional strategies in drug development.
Highest-signal resume keywords
BioinformaticsMachine LearningR ProgrammingPython ProgrammingOncology Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsComputational BiologyPredictive ModelingFeature SelectionData IntegrationHigh-Throughput Molecular DataNext-Generation SequencingSingle-Cell TechnologiesProteomicsSpatial ’Omics
Soft Skills
Problem-SolvingCreativityScientific RigorCommunication SkillsData Visualization
Tools & Technologies
Agentic AI Coding Tools
Industry Keywords
Translational SciencesDrug DevelopmentBiopharmaceuticalClinical DevelopmentBiomarkers
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Apply bioinformatics, statistical, modeling, and computational biology approaches to analyze large-scale clinical datasets
- Drive translational insights across the BMS solid tumor oncology portfolio
- Analyze clinical and real-world patient datasets to discover biomarkers, elucidate disease biology, and inform pipeline development strategies
- Partner with biomarker scientists, clinical development teams, and preclinical researchers
- 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 for predictive modeling, feature selection, and multi-modal data integration
- Provide scientific leadership and mentorship
- Shape analytical best practices and elevate AI-enabled approaches across the team
- Communicate scientific results to R&D decision-making bodies
- Translate complex analyses into actionable recommendations influencing cross-functional strategy
Requirements
What you’ll need- Bachelor's Degree and 8+ years of academic / industry experience, or Master's Degree and 6+ years of academic / industry experience, or PhD and 4+ years of academic / industry experience
- Experience with high-throughput molecular data, such as next-generation sequencing, single-cell technologies, or proteomics
- Proficiency in R and/or Python
- 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
- Demonstrated ability to communicate work and influence cross-functionally
- Experience with spatial ’omics datasets and methods preferred
- Demonstrated experience applying machine learning methods to scientific problems preferred
- Prior experience in oncology preferred
- Prior experience in drug development at a biopharmaceutical company, translational sciences, discovery, or early clinical development preferred
Benefits
Comp & perks- Wellbeing support
- Retirement and financial protection benefits
- Medical, dental, vision, life and disability insurance offerings
- Flexible Time Off (FTO) for U.S.-based exempt employees
- 11 paid company holidays
- 160 hours of paid vacation annually for eligible new hires
- 3 optional holidays for eligible employees
- 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
- Workplace accommodations/adjustments and ongoing support
- Additional discretionary incentive cash and stock opportunities