Senior RWE Biostatistics Lead - Oncology Data Science

Bristol Myers Squibb; Princeton (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Bristol Myers Squibb is seeking a Real-World Data Scientist to advance drug development through end-to-end RWD analytics, including EHR, claims, and registry data. You will build scalable pipelines, perform causal and survival analyses, and develop ML models to inform clinical decision-making.

Applicants should have a PhD in a quantitative field (or MS with substantial experience) and proficiency in Python, R, SQL, and cloud platforms.

Qualifications

• PhD in a quantitative field with 1+ years in industry or an MS with 3+ years in industry.
• Deep experience with real-world data including EHR, claims, registries and RWE sources.
• Proficiency in Python, R, SQL and cloud platforms; strong data wrangling and feature engineering skills.

Responsibilities

• Design, build, and maintain scalable data pipelines for large-scale RWD sources.
• Apply statistical and causal inference methods to generate real-world evidence.
• Develop AI/ML models for patient stratification and treatment prediction.
• Collaborate with cross-functional teams to inform trial design and regulatory submissions.

Skills

RWD analytics

AI/ML modeling

Python

R

SQL

data engineering

NLP

cloud platforms

Education

PhD in Biostatistics / Epidemiology / Data Science / CS

MS in a quantitative field

Tools

Python

R

SQL

AWS

Job description

Bristol Myers Squibb is seeking a Real-World Data Scientist to advance drug development through end-to-end RWD analytics, including EHR, claims, and registry data. You will build scalable pipelines, perform causal and survival analyses, and develop ML models to inform clinical decision-making.

Applicants should have a PhD in a quantitative field (or MS with substantial experience) and proficiency in Python, R, SQL, and cloud platforms.