Senior Manager, Analytical AI Clinical Development

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Job Title: Senior Manager – Analytical AI, Clinical Development

Aligned with Bristol Myers Squibb's mission to advance clinical development through data-driven innovation, the Senior Manager – Analytical AI in Clinical Development will play a key role in designing and deploying machine learning pipelines to optimize clinical trial operations. This individual will engage with cross-functional stakeholders to deliver impactful AI-based solutions and ensure their seamless integration into business processes, driving efficiency and enhancing decision-making across the drug development portfolio.

1. Develop and Deploy Machine Learning Pipelines:

• Apply expertise in machine learning to create, implement, and optimize end-to-end pipelines that address 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.

2. Drive Stakeholder Engagement and

Collaboration:

• Partner with cross-functional teams, including IT, medical, development, and biostatistics groups, to co-develop AI-driven solutions aligned with business priorities.
• Act as liaison between technical teams and non-technical stakeholders, ensuring alignment on objectives and fostering a collaborative environment for successful solution delivery.
• Translate technical insights and model results into actionable strategies for clinical operations teams.

3. Manage AI Product Lifecycle:

• Oversee the lifecycle of AI products, from ideation and development to deployment and monitoring.
• Develop and execute detailed project plans that align with clinical development timelines, ensuring timely delivery of AI solutions.
• Conduct post-deployment analysis to measure the impact of implemented solutions and identify areas for continuous improvement.

4. Stay Ahead of AI Trends in Clinical Development:

• Continuously evaluate emerging trends and advancements in data science and AI, integrating cutting‑edge techniques such as natural language processing (NLP) and predictive analytics into clinical trial workflows.

• Education:
  • BA/BS in a quantitative field such as data science, computer science, mathematics, or related disciplines.
  • Advanced degrees (MBA, MS, or Ph.D.) in a relevant field (computer science/computational biology/bioinformatics etc.) preferred.
• Experience:
  • Minimum of 3 years of hands‑on experience developing and deploying machine learning pipelines to solve real‑world business problems.
  • Proven ability to deliver measurable impact through AI and advanced analytics solutions.
• Technical
  
  Skills:
  
  
  • Strong foundation in statistical methods and their application to business problems, preferably in a clinical development setting.
  • Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (Tensor Flow, PyTorch, scikit-learn etc.).
  • Experience with time series forecasting and Monte Carlo simulations.
  • Proficiency in Python and SQL is required.
  • Familiarity with CI/CD workflows and Git/Git Hub for version control.
  • Famili…