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Senior Manager, Analytical AI Clinical Development at JuN - Seattle Dexter · Katori

Asks for

The ad says“Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster).”
The ad says“Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster).”
The ad says“Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster).”
The ad says“Familiarity with CI/CD workflows and Git/GitHub for version control.”
The ad says“Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster).”
The ad says“Familiarity with CI/CD workflows and Git/GitHub for version control.”
The ad says“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.”
The ad says“Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster).”
The ad says“Experience with time series forecasting and Monte Carlo simulations”
The ad says“Proficiency in Python and SQL is required”
The ad says“Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.)”
The ad says“Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.)”
The ad says“Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.)”
The ad says“Proficiency in Python and SQL is required”
The ad says“Strong foundation in statistical methods and their application to business problems, preferably in a clinical development setting”
The ad says“Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.)”
The ad says“Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.)”
The ad says“Experience with time series forecasting and Monte Carlo simulations”
The ad says“Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.)”

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

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 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.

#LI-Hybrid

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview:

Brisbane - CA - US: $167,370 - $202,807
Cambridge Crossing: $167,370 - $202,807 
Princeton - NJ - US: $152,150 - $184,370 
Seattle - WA: $167,370 - $202,807


The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.comwith the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1605063 : Senior Manager, Analytical AI Clinical Development

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Job Position Summary