Senior AI Product Lead, Clinical Development

Bristol Myers Squibb EU Policy; Princeton (NJ); On-site; USD 152,000 - 184,000; Full time

Job summary

Bristol Myers Squibb seeks a Senior Manager, Analytical AI in Clinical Development to design and deploy ML pipelines that optimize clinical trial operations. You will engage cross-functional stakeholders to deliver AI-driven solutions and ensure seamless integration into business processes, driving efficiency and improving decision-making.

Role covers AI product lifecycle, project planning, and staying ahead of AI trends with NLP and predictive analytics in clinical workflows.

Qualifications

• Bachelor's degree in a quantitative field; advanced degree preferred.
• 3+ years deploying ML pipelines with measurable impact.
• Strong statistical methods background for business problems.
• Experience with NLP and large language models is highly preferred.

Responsibilities

• Design and deploy end-to-end ML pipelines for clinical development.
• Automate analysis of protocols, real-world data and recruitment data.
• Collaborate with IT, medical, biostatistics to align AI solutions with priorities.
• Translate model results into actionable clinical operations strategies.
• Oversee AI product lifecycle from ideation to monitoring.

Skills

Python

SQL

CI/CD

MLOps

Cloud AWS/Azure

NLP

Time series forecasting

Monte Carlo simulations

PyTorch

TensorFlow

scikit-learn

Streamlit/Dash/Shiny

Education

BA/BS in data science, computer science, mathematics, or related field

Advanced degrees (MBA, MS, or Ph.D.) preferred

Tools

Git/GitHub

Airflow

Dagster

RWD data experience

Streamlit/Dash/Shiny

Healthcare/clinical data tooling

Job description

Bristol Myers Squibb seeks a Senior Manager, Analytical AI in Clinical Development to design and deploy ML pipelines that optimize clinical trial operations. You will engage cross-functional stakeholders to deliver AI-driven solutions and ensure seamless integration into business processes, driving efficiency and improving decision-making.

Role covers AI product lifecycle, project planning, and staying ahead of AI trends with NLP and predictive analytics in clinical workflows.