Lead AI-Driven Clinical Development & Analytics

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

Benefits offered by this job

Flexible Time Off

11 paid holidays

Wellbeing and insurance benefits

Retirement plan

Job summary

Bristol Myers Squibb is seeking a Senior Manager, Analytical AI in Clinical Development to design and deploy machine learning pipelines that optimize clinical trial operations. You will engage cross-functional stakeholders to deliver AI-driven solutions and ensure integration into business processes, enhancing decision-making across the drug development portfolio.

Responsibilities include developing end-to-end ML pipelines, automating workflows, and managing AI products from ideation to

Qualifications

• BA/BS in a quantitative field such as data science, computer science, mathematics, or related disciplines.
• Advanced degrees (MBA, MS, or Ph.D.) preferred in a relevant field (CS/computational biology/bioinformatics).
• 3+ years hands-on experience deploying ML pipelines to solve business problems.
• Proven ability to deliver measurable impact through AI and analytics.

Responsibilities

• Develop and deploy ML pipelines for clinical study design and execution.
• Automate workflows to analyze complex datasets including protocols and recruitment data.
• Ensure scalability and reliability of ML solutions for real-time decision support.
• Engage with cross-functional teams to co-develop AI-driven solutions.
• Translate insights into actionable strategies for clinical operations.
• Oversee AI product lifecycle from ideation to monitoring.
• Plan projects aligning with timelines and deliver results.

Skills

Machine Learning

Python

SQL

NLP

MLOps

Cloud

Git

Airflow

Time Series

Statistics

Education

BA/BS in quantitative field

Advanced degree preferred

Tools

TensorFlow

PyTorch

scikit-learn

Airflow

Job description

Bristol Myers Squibb is seeking a Senior Manager, Analytical AI in Clinical Development to design and deploy machine learning pipelines that optimize clinical trial operations. You will engage cross-functional stakeholders to deliver AI-driven solutions and ensure integration into business processes, enhancing decision-making across the drug development portfolio.

Responsibilities include developing end-to-end ML pipelines, automating workflows, and managing AI products from ideation to