Senior Manager, Analytical AI Clinical Development

Bristol Myers Squibb

Senior Manager applying machine learning and analytical AI to optimize Bristol Myers Squibb clinical trials. Leading AI product delivery, stakeholder collaboration, and clinical development workflow innovation.

Posted 8/10/2026full-timePrinceton • California, Massachusetts, New Jersey, Washington • 🇺🇸 United StatesSenior💰 $152,150 - $202,807 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing machine learning pipelines for clinical applications, with a strong foundation in statistical methods and proficiency in Python and SQL. Capable of translating technical insights into actionable strategies while managing AI product lifecycles and collaborating with cross-functional teams.

Highest-signal resume keywords

Machine Learning Pipeline DevelopmentStatistical Methods ApplicationPython and SQL ProficiencyNatural Language Processing TechniquesAI Product Lifecycle Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical MethodsSupervised LearningUnsupervised LearningReinforcement LearningTime Series ForecastingMonte Carlo SimulationsData ScienceAI and Advanced AnalyticsBioinformatics

Soft Skills

Communication SkillsLeadership SkillsInterpersonal SkillsPresentation Skills

Tools & Technologies

TensorFlowPyTorchScikit-learnGit/GitHubAWSAzureAirflowDagsterStreamlitDash

Industry Keywords

Clinical Trial OperationsReal-World EvidencePatient Recruitment DataAI-Driven SolutionsClinical DevelopmentMLOps Workflows

Tech Stack

Tools & technologies

AirflowAWSAzureCloudPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Develop, implement, and optimize end-to-end machine learning pipelines for clinical study design and execution
Automate workflows processing and analyzing clinical trial protocols, real-world evidence, and patient recruitment data
Ensure scalability, reliability, and robustness of machine learning solutions for real-time decision support
Partner with IT, medical, development, and biostatistics teams to co-develop AI-driven solutions
Liaise between technical teams and non-technical stakeholders
Translate technical insights and model results into actionable strategies for clinical operations teams
Oversee AI product lifecycles from ideation and development through deployment and monitoring
Develop and execute project plans aligned with clinical development timelines
Conduct post-deployment analysis and identify opportunities for continuous improvement
Evaluate emerging data science and AI trends and integrate NLP and predictive analytics into clinical trial workflows

Requirements

What you’ll need

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
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
Experience with TensorFlow, PyTorch, scikit-learn, or common machine learning frameworks
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 such as AWS or Azure, and workflow orchestration tools such as Airflow or Dagster
Experience with Natural Language Processing techniques and Large Language Models is highly preferred
Experience working with real-world datasets is highly preferred
Experience in bioinformatics/computational biology is a plus
Experience with Streamlit, Dash, or Shiny app development is a plus
Excellent communication and presentation skills
Strong leadership and interpersonal skills
Knowledge of drug development and clinical trial operations is highly desirable
Experience managing AI product lifecycles and integrating solutions into business operations

Benefits

Comp & perks

Health Coverage: Medical, pharmacy, dental, and vision care
Wellbeing Support: BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP)
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
Survivor support
US Exempt Employees: flexible time off (unlimited, with manager approval)
11 paid national holidays
160 hours annual paid vacation for new hires with manager approval
3 optional holidays
Unlimited paid sick time (based on eligibility)
Up to 2 paid volunteer days per year (based on eligibility)
Summer hours flexibility (based on eligibility)
Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
Annual Global Shutdown between Christmas and New Years Day
Additional incentive cash and stock opportunities (based on eligibility)