Bristol Myers Squibb · 8 hours ago
Senior Manager, Analytical AI Clinical Development
Princeton, NJ
Full-time
Onsite
Mid, Senior Level
$152K/yr - $184K/yr
3+ years expBristol Myers Squibb is a company dedicated to transforming patients' lives through science. The Senior Manager - Analytical AI in Clinical Development will design and deploy machine learning pipelines to optimize clinical trial operations, engaging with stakeholders to deliver impactful AI-based solutions that enhance decision-making across the drug development portfolio.
BiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine
Responsibilities
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
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
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
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
Qualification
Required
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
Preferred
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
Benefits
Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Paid Time Off
Company
Bristol Myers Squibb
At Bristol Myers Squibb, we work every day to transform patients’ lives through science.
10001+ employees
H1B Sponsorship
Bristol Myers Squibb has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (247)
2024 (278)
2023 (231)
2022 (180)
2021 (181)
2020 (169)
Funding
Current Stage
Public CompanyTotal Funding
$29.32BKey Investors
Venrock
2025-11-05Post Ipo Debt· $5.74B
2024-02-14Post Ipo Debt· $13B
2023-10-30Post Ipo Debt· $4.5B
Leadership Team
Charles Bancroft
CFO
Cristian Massacesi
Executive Vice President, Chief Medical Officer and Head of Development
Recent News
2026-01-09
2026-01-08
2026-01-07
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