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 .
Position Summary
This is a new position. You will join a cutting-edge Drug Development Data Science and Advanced Analytics (DSAA) team to drive and shape the global drug development process. We are looking for a seasoned, scientifically accomplished data scientist with a demonstrated track record of leading analytical strategy, translating complex multi-modal data into impactful scientific insights, and influencing drug development decisions. This role brings together deep expertise in digital health data science , including wearable and sensor-derived longitudinal data, with strategic and hands-on contributions across genomics, proteomics, imaging, flow cytometry, and other biomarker data @types generated from clinical trials.
As a Director, you will serve as a recognized scientific and technical leader within the DSAA organization, driving the vision, methodology, and execution of exploratory data science efforts across early-to-late phase drug development. You will define and champion approaches, frameworks, algorithms, and platforms that support the analytics, visualization, and decision support needs of drug development scientists and project teams. This position may include management of a small team of data scientists. You will collaborate closely with Biostatistics leads, Translational and Clinical Scientists, and other senior cross-functional partners to ensure that data science work is fully integrated into the development, regulatory, and commercial strategy for BMS products.
What You'll Do
Digital Health & Wearable Data Science (Deep Expertise)
Lead the strategy and hands-on execution of data science efforts for wearable and sensor-derived time-series data, including the design and oversight of Python pipelines for QC, preprocessing, sensor artifact removal, imputation, and feature engineering based on clinical concepts of interest
Drive development and validation of advanced models for longitudinal sensor data, spanning frequency/time-frequency representations, digital filtering, representation learning, and deep learning approaches (e.g., Transformers, ensembles) with rigorous model explainability
Define and implement statistically rigorous approaches to repeated-measures and longitudinal data, including mixed-effects/hierarchical models and principled strategies for within-subject dynamics and missingness
Lead quantitative characterization of physiological and clinically meaningful measures (e.g., accelerometry/actigraphy, HRV, SpO2) associated with disease progression, patient subtyping, or treatment response, with an eye toward regulatory-grade evidence generation
Oversee and critically evaluate third-party analytics providers and vendor-derived digital biomarker outputs, ensuring scientific validity and fit-for-purpose quality
Champion strong evaluation standards, reproducible research practices, and scalable engineering principles across digital health workstreams
Broader Multi-Modal Data Science (Clinical Trial & Drug Development)
Drive the scientific strategy and execution of data science and biomarker analyses across multimodal clinical, digital health, and omics datasets, including genomics, proteomics, imaging, flow cytometry, and other high-dimensional biomarker data @types from BMS clinical trials and real-world cohorts
Lead and shape the development and application of novel computational methods for patient segmentation, predictive biomarker discovery, and precision medicine in partnership with Translational, Clinical, and Statistical Scientists
Provide senior scientific input into statistical analysis plans (SAPs) for exploratory biomarker and digital health analyses, shaping the data science strategy for clinical drug development programs
Perform and oversee innovative statistical analyses of high-dimensional data (e.g., gene expression, sequencing, imaging features) generated by cutting-edge technologies, ensuring methodological rigor and interpretability
Lead the integration, mining, and visualization of diverse, high-dimensional, and disparate datasets across therapeutic areas and development phases, developing novel analytical frameworks where existing approaches fall short
Drive the formulation, implementation, testing, and validation of predictive models and scalable automated processes for delivering modeling results across programs
Champion the application of modern machine learning capabilities, including AI/ML, deep learning, NLP, causal ML, and explainable AI, to accelerate drug development and address the complexities of emerging data @types
Contribute to and influence the scientific and statistical strategy of drug development programs, including the development of predictive biomarkers, novel trial designs, and precision medicine approaches
Leadership, Strategy & Cross-Functional Influence
Serve as a senior scientific thought leader within the DSAA organization, shaping the vision and roadmap for digital health and multi-modal data science in drug development
If applicable, manage and develop a small team of data scientists, building capabilities, fostering a culture of rigor and innovation, and ensuring delivery of high-quality work
Build and sustain strong partnerships with senior stakeholders across Biostatistics, Translational Medicine, Clinical Development, Regulatory Affairs, and IT/Engineering
Lead cross-functional scientific discussions, represent DSAA in project team meetings, and influence drug development decisions through data-driven insights
Establish and promote best practices, methodological standards, and engineering quality across DSAA, mentoring junior and mid-level data scientists
Communicate complex analytical strategies and results with clarity and scientific authority to both technical and non-technical audiences, including senior leadership
Manage competing priorities and resources to deliver quality scientific outputs within program timelines
Key Requirements
Ph.D. in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, Computer Science, or related field) and 8+ years of academic/industry experience; or Master's Degree in a relevant quantitative field and 10+ years of industry experience
Deep, hands-on expertise in digital health data science, including wearable/sensor time-series data (QC, preprocessing, artifact handling, imputation, feature engineering for accelerometry/actigraphy, HRV, SpO2), with a track record of delivering validated, production-quality outputs
Demonstrated mastery in data analysis with data generated from clinical trials or electronic health records, particularly in application to pharma R&D
Significant industry track record of driving statistical and AI/ML innovation across multiple data modalities and drug development @contexts
Strong Python skills and experience leading code-first, production-quality analytical work: clean, scalable, modular pipelines; Git/version control; and collaborative software development practices
Mastery in developing and applying statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes
Deep familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-making
Proven ability to influence scientific strategy and drive decisions through rigorous, data-driven analysis
Demonstrated ability to lead, mentor, and collaborate with multidisciplinary teams, and to manage multiple concurrent high-priority programs
Excellent communication, data presentation, and visualization skills; ability to convey complex analytical concepts to diverse audiences including senior leadership
Capable of establishing and sustaining strong, high-trust working relationships across the organization
Preferred Qualifications
Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials is highly preferred
Experience with NLP is highly preferred
Experience with Survival Analysis and time-to-event modeling is highly preferred
Experience with causal ML and explainable AI is highly preferred
Knowledge of molecular biology and understanding of disease pathways is preferred
Experience with or perspective on novel trial design (e.g., adaptive, platform, or biomarker-enriched trials) is preferred
Familiarity with sleep analytics, circadian cosinor modeling, or biomechanical/navigational physics for movement data (quaternions, Euler angles, orientation estimation)
Experience overseeing or integrating third-party analytics partnerships and critically evaluating vendor-derived outputs
Experience with scalable compute and deployment patterns, including cloud platforms (e.g., AWS), multi-GPU instances, and parallelization for model training/inference at scale
Prior experience in a people management or formal scientific leadership role is a plus
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.
Compensation Overview:
Princeton - NJ - US: $218,740 - $265,060
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: T he 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.
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/ (https://careers.bms.com/eeo-accessibility) 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.
R1600803 : Director Company: Bristol-Myers Squibb
Req Number: R1600803
Updated: 2026-04-17 06:04:16.896 UTC
Location: Princeton-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
