Senior Manager, Analytical AI Clinical Development

Role Summary

Senior Manager - Analytical AI, Clinical Development. Aligned with Bristol Myers Squibb's mission to advance clinical development through data-driven innovation, the role involves designing and deploying machine learning pipelines to optimize clinical trial operations. The position requires engaging with cross-functional stakeholders to deliver AI-based solutions and ensure their integration into business processes to drive efficiency and enhance decision-making across the drug development portfolio.

Responsibilities

• Develop and Deploy Machine Learning Pipelines: create, implement, and optimize end-to-end pipelines addressing critical business problems in clinical study design and execution.
• Automate workflows to process and analyze complex datasets such as clinical trial protocols, real-world evidence, and patient recruitment data.
• Ensure the scalability, reliability, and robustness of deployed machine learning solutions for real-time decision support.
• Partner with cross-functional teams (IT, medical, development, biostatistics) to co-develop AI-driven solutions aligned with business priorities.
• Act as liaison between technical teams and non-technical stakeholders to ensure alignment on objectives and foster collaboration for successful delivery.
• Translate technical insights and model results into actionable strategies for clinical operations teams.
• Oversee the lifecycle of AI products from ideation to deployment and monitoring.
• Develop and execute detailed project plans aligned with clinical development timelines to ensure timely AI solution delivery.
• Conduct post-deployment analysis to measure impact and identify areas for improvement.
• Stay abreast of AI trends, integrating techniques such as NLP and predictive analytics into clinical trial workflows.

Qualifications

• Education:
  • BA/BS in data science, computer science, mathematics, or related field.
  • Advanced degrees (MBA, MS, Ph.D.) preferred in computer science, computational biology, bioinformatics, or related fields.
• Experience:
  • Minimum of 3 years developing and deploying machine learning pipelines to solve real-world problems.
  • Proven ability to deliver measurable impact through AI and analytics.
• Technical Skills:
  • Strong foundation in statistical methods applied to business problems, preferably in a clinical development setting.
  • Experience with supervised, unsupervised, and reinforcement learning using TensorFlow, PyTorch, scikit-learn, etc.
  • Experience with time series forecasting and Monte Carlo simulations.
  • Proficiency in Python and SQL.
  • Familiarity with CI/CD, Git/GitHub, and MLOps; cloud environments (AWS, Azure) and workflow tools (Airflow, Dagster).
  • Experience with NLP techniques and large language models (highly preferred).
  • Experience with real-world data (RWD) (highly preferred).
  • Bioinformatics/computational biology experience is a plus.
  • Experience with Streamlit/Dash/Shiny app development is a plus.
• Soft Skills:
  • Excellent communication and presentation skills with ability to translate technical concepts for diverse audiences.
  • Strong leadership and collaboration skills to foster stakeholder engagement.
• Preferred Expertise:
  • Knowledge of drug development and clinical trial operations.
  • Experience managing AI product lifecycles and integrating solutions into business operations.

Education

• BA/BS in a quantitative field (data science, computer science, mathematics, etc.).
• Advanced degree preferred (MBA, MS, Ph.D.).

Additional Requirements

• Location: Princeton, NJ, US (as specified).