Not specified; not specified; competitive benefits...
Hybrid (50% onsite)
Python pyspark or r proficiency
Clinical trial data analysis experience
Predictive modeling and survival analysis
Bristol Myers Squibb is seeking a Data Scientist III to contribute to clinical development analytics by designing and implementing machine learning and AI solutions. The role involves statistical analysis of clinical datasets and collaboration with various stakeholders to transform data into actionable insights. Successful candidates will possess strong technical skills and a background in biopharma or clinical research
Job Summary
This role offers the opportunity to design sophisticated ML and AI solutions that transform patient lives through clinical development breakthroughs.
You will collaborate with high-achieving teams to translate complex clinical datasets into actionable insights while working in a flexible environment.
The position emphasizes hands-on technical delivery of end-to-end analytical solutions ranging from problem framing to deployment within regulated biopharma settings.
Matching Summary
Match Score: 85
Bristol Myers Squibb is seeking a Data Scientist III to contribute to clinical development analytics by designing and implementing machine learning and AI solutions. The role involves statistical analysis of clinical datasets and collaboration with various stakeholders to transform data into actionable insights. Successful candidates will possess strong technical skills and a background in biopharma or clinical research.
Salary
Not specified; Not specified; Competitive benefits and programs provided
Skills & Requirements
Must-have
Python PySpark or R proficiency
Clinical trial data analysis experience
Predictive modeling and survival analysis
MLOps and GitOps practices implementation
Cloud platforms AWS or Azure usage
Big data technologies Spark knowledge
LLM and RAG framework application
Nice-to-have
React front-end development exposure
LangChain AutoGen LlamaIndex experience
Open-source AI project contributions
Model explainability XAI familiarity
HIPAA compliance workflow understanding
Agentic AI framework project work
Responsible AI principles application
Key Requirements
5+ years progressive data science or ML engineering experience
Bachelor's Master's or Ph.D. in Data Science Statistics or related field
Meaningful exposure to biopharma pharma or clinical research settings
Experience with clinical trial data EHR EMR or RWE sources
Practical experience applying AI GenAI technologies to real use cases