Bristol Myers Squibb
Digital Health
SeniorManager,DataScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Manager, Data Science at Bristol Myers Squibb. Skills: Data Science, Python, Time-series analysis, Machine Learning. Build and maintain Python pipelines. QC, preprocessing, sensor artifact removal”
What You'll Achieve.
Build and deliver hands-on, code-first analytics; Deliver validated outputs; Build reproducible pipelines and models; Advance analytics from real-world and trial-based wearable signals; Build practical, validated solutions with high impact
Industry & Context.
Debugging; Analytical work
Less than 10% travel
What They're Looking For.
Must Have
MS with experience in Data Science, Biostatistics, Biomedical Engineering, Computer Science, or related field, Demonstrated hands-on experience with time-series sensor data, QC, preprocessing, artifact handling, imputation, feature engineering for accelerometry/actigraphy, Experience with HRV and/or SpO₂, Python skills with evidence of shipping code, Clean, testable object-oriented design, Modular pipelines, Git/version control, Code reviews, Collaborative development practices, Experience with longitudinal statistical modeling for repeated measures data, Proven ability to translate analytical work into clear deliverables, Communicate results to technical and non-technical stakeholders
Nice to Have
PhD, Navigational physics experience for movement data and/or biomechanical analysis, Quaternions, Euler angles, Dead-reckoning, Orientation/heading estimation, Familiarity with sleep analytics, Circadian cosinor modeling, Willingness to learn open-source libraries, Experience managing or integrating third-party analytics, Experience with scalable compute and deployment patterns, AWS multi-GPU instances, Parallelization for model training/inference
What You'll Do.
Build and maintain Python pipelines
sensor artifact removal
Imputation and feature engineering
EDA and signal characterization
Signal processing and detection
Develop and validate models
Apply statistically rigorous approaches
Implement evaluation practices
Collaborate with internal stakeholders
Validate vendor-derived outputs
How You'll Work.
Team & Collaboration
Collaborating across internal and external partners; Collaborate actively with internal stakeholders; Collaborate with external partners; Code reviews; Technical mentorship
Communication Scope
Communicate results to technical and non-technical stakeholders
Full Job Description
**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](https://careers.bms.com/working-with-us). ## **Job Announcement: Senior Manager, Data Science – Data Science and Advanced Analytics** **Location:** (Hybrid/Onsite/Remote) **Department:** Digital Health Data Science **Level:** Senior Manager **Travel:** Less than 10% ### **Position Summary** BMS Digital Health is seeking a **Senior Manager, Data Science** to build and deliver **hands-on, code-first** analytics and algorithm development using wearable and sensor-derived longitudinal data . This role is for a data scientist who thrives in the details—owning work end-to-end from raw signals to validated outputs—spanning **time-series QC, preprocessing, artifact handling, imputation, feature engineering, and modeling** across accelerometry/actigraphy and cardio-respiratory signals (e.g., **HRV, SpO₂**). The ideal candidate enjoys writing production-quality Python in orchestration environments, applying rigorous validation, and collaborating across internal and external partners. **This is a highly hands-on individual contributor role**. You will spend a significant port
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