Principal Scientist, Translational Informatics

Bristol-Myers Squibb Co; Cambridge (MA); On-site; USD 167,000 - 202,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Job summary

Bristol-Myers Squibb Co in Cambridge, MA, seeks a Principal Scientist in Translational Informatics and Predictive Sciences to apply cutting-edge bioinformatics, statistical, and ML approaches to large-scale clinical datasets, driving translational insights across the solid tumor portfolio.

You will partner with biomarker scientists and clinical teams to design computational strategies, analyze multi-omics data, and translate analyses into actionable recommendations that influence development

Qualifications

• Experience with high-throughput molecular data, such as NGS, single-cell, proteomics.
• Proficiency in R and/or Python, with ability to leverage AI in scientific work.
• Strong understanding of fundamental statistical methods.
• Growth mindset with a passion for continuous learning.
• Strong problem-solving skills and ability to communicate clearly.

Responsibilities

• Partner with biomarker scientists and clinical teams to design computational studies.
• Analyze high-dimensional molecular data to gain mechanistic insights.
• Apply ML/AI methods to multi-omics and real-world datasets for modeling and integration.
• Provide scientific leadership and mentorship, elevating AI-enabled analytical practices.
• Communicate results to cross-functional decision-makers with actionable recommendations.

Skills

High-throughput omics

R/Python AI

Statistics

Growth mindset

Problem solving

Communication

Education

Bachelor's degree

Master's degree

PhD

Tools

R

Python

Spatial-omics

Job description

Bristol-Myers Squibb Co in Cambridge, MA, seeks a Principal Scientist in Translational Informatics and Predictive Sciences to apply cutting-edge bioinformatics, statistical, and ML approaches to large-scale clinical datasets, driving translational insights across the solid tumor portfolio.

You will partner with biomarker scientists and clinical teams to design computational strategies, analyze multi-omics data, and translate analyses into actionable recommendations that influence development