Data Scientist II

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

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. Read more: careers.bms.com/working-with-us.

The Data Scientist II role supports Clinical Development by delivering high-impact analytical initiatives and applying advanced analytics and machine learning to address complex clinical and operational questions. This role is designed for experienced data scientists who are strong problem solvers, creative thinkers, and hands-on builders of scalable analytical solutions, with the ability to generate ideas and translate them into practical impact. In this role, you will apply statistical modeling, forecasting, and predictive analytics to support study planning and trial execution, while owning end-to-end analytical workstreams and contributing to data-driven decision-making. You will work closely with clinical, medical, operational, and analytics stakeholders to translate key business questions into robust analytical approaches and partner with senior team members on solution design, prioritization, and navigating high-ambiguity problem spaces. Overall, this role combines technical depth, scientific thinking, and cross-functional collaboration to deliver meaningful impact across the clinical development portfolio.

• Apply statistical and machine learning techniques to solve defined clinical and operational problems across the clinical development portfolio.
• Conduct exploratory data analysis across clinical trial, operational, and related healthcare datasets.
• Support development of predictive models and analytical workflows for use cases such as enrollment analytics, study operations, and trial performance monitoring.
• Build and improve data and analytics pipelines in collaboration with engineering and platform teams.
• Translate analytical findings into clear visualizations, reports, and presentations for technical and non-technical stakeholders.
• Contribute to model documentation, validation, and maintenance following team standards and good analytical practices.
• Partner with clinical, medical, and operational stakeholders to understand business questions and support data-driven decision-making.
• Mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development initiatives.
• Stay current with relevant advances in clinical analytics, machine learning, and applied AI.

• Strong proficiency in Python, R, or PySpark for data analysis and modeling.
• Good understanding of statistical analysis, hypothesis testing, regression, forecasting, and related analytical methods.
• Hands-on experience with SQL and large structured datasets; exposure to NoSQL is a plus.
• Familiarity with clinical trial, healthcare, or real-world data environments is preferred.
• Ability to structure analytical problems and select appropriate methods for defined use cases.
• Experience with data visualization tools such as Tableau, Power BI, matplotlib, or seaborn.
• Working knowledge of version control and standard model development practices.
• Strong communication, collaboration, prioritization, and problem-solving skills in a structured and fast-paced environment.

• Bachelor’s or Master’s degree in Data Science, Statistics, Biostatistics, Computer Science, Mathematics, Engineering, or a related field.
• 3–5 years of experience in data science, analytics, or machine learning roles.
• Experience applying statistical and machine learning methods to real-world business or scientific problems.
• Preferred exposure to healthcare, life sciences, clinical research, or regulated data environments.
• Experience working with cross-functional stakeholders and delivering analytical outputs in a structured environment.

• Exposure to clinical trial data, patient journey analytics, enrolment analytics, or operational performance use cases.
• Familiarity with real-world data sources such as EHR/EMR, claims, or registries.
• Exposure to MLOps workflows, cloud platforms, or pipeline orchestration tools.
• Exposure to GenAI, LLMs, or RAG-based workflows in applied analytics settings.
• Awareness of clinical data standards or regulated data practices is a plus.
• Exposure to software development practices, including SDLC, API-based workflows, and front-end technologies such as React for building interactive analytical applications.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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 for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

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 you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.