Senior Manager

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 advance the global drug development process. We are looking for a candidate with strong computational, statistical, and biological capabilities and a demonstrated track record of translating complex, multi-modal data into testable hypotheses and actionable insights. This role brings together deep expertise in digital health data science, including wearable and sensor-derived longitudinal data, with broader contributions across genomics, proteomics, imaging, flow cytometry, and other biomarker data types generated from clinical trials.

As a hands-on individual contributor, you will drive exploratory analysis (both hypothesis-generating and hypothesis-driven) for scientific questions related to drug development and clinical study design. You will define approaches, processes, algorithms, and pipelines that support analytics, visualization, and decision support needs of drug development scientists and project teams, while collaborating closely with Biostatistics leads and cross-functional partners across the organization. We are looking for a hands-on, state-of-the-art practitioner.

What You'll Do

Digital Health & Wearable Data Science (Deep Expertise)

Build and maintain Python pipelines for wearable and sensor-derived time-series data, including QC, preprocessing, sensor artifact removal, imputation, and feature engineering based on clinical concepts of interest

Develop and validate models for longitudinal sensor data using frequency/time-frequency representations, digital filtering, representation learning, and deep learning approaches (e.g., Transformers, ensembles) with model explainability techniques where appropriate

Apply statistically rigorous approaches to repeated-measures and longitudinal data, including mixed-effects/hierarchical models and study-appropriate strategies for within-subject dynamics and missingness

Drive quantitative characterization of physiological and clinically meaningful measures (e.g., accelerometry/actigraphy, HRV, SpO₂) associated with disease progression or patient subtyping

Collaborate with and perform QC/validation of third-party analytics providers and vendor-derived digital biomarker outputs

Implement strong evaluation practices and reproducible research standards (nested CV, LOO, OOB methods, structured codebases, version control)

Broader Multi-Modal Data Science (Clinical Trial & Drug Development)

Develop and apply novel or existing computational methods for patient segmentation and biomarker discovery from multimodal clinical, digital health, and omics datasets in partnership with Translational, Clinical, and Statistical Scientists

Execute data science and biomarker analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other high-dimensional biomarker data types

Partner with lead and protocol statisticians in contributing to statistical analysis plans (SAPs) for exploratory biomarker and digital health analyses, highlighting the data science strategy for clinical drug development

Perform relevant and innovative statistical analyses of high-dimensional data (e.g., gene expression, sequencing, imaging features) generated by cutting-edge technologies

Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and disparate datasets across early-to-late phase drug development

Formulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scale

Leverage modern machine learning capabilities, including AI/ML, deep learning, NLP, causal ML, and explainable AI, across multiple data modalities and clinical development contexts

Contribute to the scientific and statistical strategy of drug development, including development of predictive biomarkers and precision medicine approaches

Collaboration & Technical Contribution

Collaborate with cross-functional teams, including clinicians, data scientists, translational medicine scientists, biostatisticians, and IT/engineering professionals

Contribute to team excellence via code reviews, technical mentorship, and raising the overall engineering and methodological rigor of the team

Communicate analytical results clearly and effectively to both technical and non-technical stakeholders, with strong data presentation and visualization skills

Manage and coordinate resources to produce quality deliverables within timelines for competing priorities

Build and maintain strong working relationships across the organization

Key Requirements

Ph.D. in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, Computer Science, or related field) and 1+ years of academic/industry experience; or Master's Degree in a relevant quantitative field and 3+ 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)

Strong Python skills with evidence of shipping production-quality code: clean, testable, object-oriented design; modular pipelines; Git/version control; and collaborative development practices

Strong experience in biomarker or multi-modal data analysis with data generated from clinical trials or electronic health records

Experience in modeling methods particularly in their application to pharma R&D; experience in the application of AI/ML; proficiency in Python, R, SQL, and cloud platforms

Experience developing statistical and machine learning models on high-dimensional data for time-to-event and longitudinal outcomes

Familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-making

Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data

Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects

Strong problem-solving and collaboration skills, and rigorous and creative thinking

Excellent communication, data presentation, and visualization skills

Capable of establishing strong 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

Familiarity with sleep analytics, circadian cosinor modeling, or biomechanical/navigational physics for movement data (quaternions, Euler angles, orientation estimation)

Experience managing or integrating third-party analytics and validating vendor outputs

Experience with scalable compute and deployment patterns, including AWS multi-GPU instances and parallelization for model training/inference

Why Join Us

Work at the intersection of digital biomarkers, multi-omics, imaging, machine learning, and clinical drug development

Partner with multidisciplinary teams to advance analytics from real-world and trial-based wearable signals alongside genomics, proteomics, and other rich clinical trial data

Build practical, validated solutions with high impact across early-to-late phase clinical development, and write the code that delivers them

Play a key role in shaping the future of data-driven drug development at Bristol-Myers Squibb

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: $164,110 - $198,862 


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/ 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.

R1600804 : Senior Manager