Senior Manager, Analytical AI Clinical Development

Bristol Myers Squibb-posted about 2 months ago

Full-time • Mid Level

Princeton, NJ

5,001-10,000 employees

Chemical Manufacturing

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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.

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.

BA/BS in a quantitative field such as data science, computer science, mathematics, or related disciplines.
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.
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).
Excellent communication and presentation skills, with a proven ability to translate technical complexity into clear, actionable insights for diverse audiences.
Strong leadership and interpersonal skills to foster stakeholder engagement and cross-functional collaboration.

Advanced degrees (MBA, MS, or Ph.D.) in a relevant field (computer science/computational biology/bioinformatics etc.) preferred.
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
Knowledge of drug development and clinical trial operations is highly desirable.
Experience managing AI product lifecycles and integrating solutions into business operations.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Medical, pharmacy, dental and vision care.
Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP).
Financial well-being resources and a 401(K).
Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.
Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
Parental, caregiver, bereavement, and military leave.
Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
Other perks like tuition reimbursement and a recognition program.

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