Senior Manager

Working with Us
Challenging. Meaningful. Life-changing. Those arent 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. Youll 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: 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 Youll 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 Masters 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 doesnt 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.

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 employees 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 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.

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 . Visit 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: Protection

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