Senior Manager, Analytical AI Clinical Development

Bristol-Myers Squibb; United States; Hybrid; USD 167,000 - 203,000; Full time

Job summary

Bristol Myers Squibb in the United States seeks a Senior Manager - Analytical AI in Clinical Development to design and deploy ML pipelines for clinical trial operations. You will partner with IT, biostatistics, medical and development teams to deliver AI-driven solutions that improve efficiency and decision-making across the drug portfolio.

The role emphasizes end-to-end AI product lifecycle management, oversight of project plans, and ongoing evaluation of NLP and predictive analytics techniques

Qualifications

• 3+ years building and deploying ML pipelines in a business setting.
• Strong foundation in statistics and ML methods for clinical contexts.
• Experience with NLP and LLMs is highly valued.
• Proficiency in Python and SQL; knowledge of cloud and MLOps.

Responsibilities

• Design and deploy end-to-end ML pipelines for clinical study design and execution.
• Automate workflows to process complex data: protocols, real-world data, recruitment.
• Collaborate with IT, medical, biostatistics to align AI solutions with goals.
• Oversee AI product lifecycle from ideation to monitoring and improvement.

Skills

Python

SQL

TensorFlow

PyTorch

scikit-learn

MLOps

AWS

Azure

Airflow

Dagster

NLP

LLMs

RWD

Biinformatics

Communication

Leadership

Education

BA/BS in data science / CS / mathematics

MBA / MS / PhD preferred

Tools

TensorFlow

PyTorch

scikit-learn

Airflow

Dagster

Git/GitHub

CI/CD

Cloud platforms

Streamlit/Dash/Shiny

RWD tools

Job description

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Job Position Summary

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.

Key Responsibilities and Major Duties

• 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.
• 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.
• 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.
• 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.

Qualifications

• 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 (TensorFlow, 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/GitHub for version control.
  • Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster).
  • Experience with Natural Language Processing techniques and Large Language Models is highly preferred.
  • Experience working with real‑world datasets (RWD) is highly preferred.
  • Experience in bioinformatics/computational biology is a plus.
  • Experience with Streamlit/Dash/Shiny app development is a plus.
• Soft Skills:
  • Excellent communication and presentation skills, with a proven ability to translate technical complexity into clear, actionable insights for varied audiences.
  • Strong leadership and interpersonal skills to foster stakeholder engagement and cross‑functional collaboration.
• Preferred Expertise:
  • Knowledge of drug development and clinical trial operations is highly desirable.
  • Experience managing AI product lifecycles and integrating solutions into business operations.

Compensation Overview:

• Brisbane - CA - US: $167,370 - $202,807
• Cambridge Crossing: $167,

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