Senior Data Scientist — Biomarkers & Multimodal Analytics

Bristol-Myers Squibb Co; Cambridge (MA); On-site; USD 170,000 - 207,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

Paid Time Off

Job summary

Bristol Myers Squibb is seeking a Senior Manager, Data Scientist to join a cutting-edge Drug Development Data Science and Biomarker team in Cambridge. You will translate complex multimodal data into testable hypotheses using state-of-the-art ML and statistical methods.

You will collaborate with clinicians, statisticians, and IT to drive biomarker strategy, develop predictive models, and scale analyses across trials using Python, R, SQL, and cloud platforms. On-site in Cambridge.

Qualifications

• Ph.D. in a quantitative field with 1+ year of experience or Master’s with 3+ years in industry.
• Strong biomarker data analysis experience and omics data familiarity.
• Proficiency in AI/ML methods, and SQL, Python and R; cloud platforms preferred.

Responsibilities

• Develop and apply computational methods for biomarkers and patient stratification from multimodal data.
• Collaborate with statisticians to design SAPs and biomarker strategies for clinical programs.
• Perform high-dimensional data analyses and validate predictive models at scale.
• Lead cross-functional partnerships across clinical, translational and data science teams.

Skills

Python

R

SQL

Cloud platforms

Biomarker data analysis

Omics data analysis

AI/ML applications

Statistical modeling

Education

Ph.D. in a quantitative field

Master's degree in a quantitative field

Tools

Python

R

SQL

Cloud platforms

Job description

Bristol Myers Squibb is seeking a Senior Manager, Data Scientist to join a cutting-edge Drug Development Data Science and Biomarker team in Cambridge. You will translate complex multimodal data into testable hypotheses using state-of-the-art ML and statistical methods.

You will collaborate with clinicians, statisticians, and IT to drive biomarker strategy, develop predictive models, and scale analyses across trials using Python, R, SQL, and cloud platforms. On-site in Cambridge.