Job Position SummaryAligned 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
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.
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 diverse 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.
#LI-Hybrid
Compensation Overview:Brisbane - CA - US: $167,370 - $202,807Cambridge Crossing: $167,370 - $202,807 Princeton - NJ - US: $152,150 - $184,370 Seattle - WA: $167,370 - $202,807
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
- 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.
Work-life benefits include:Paid Time Off
- US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
- Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
