> Markdown version of [/jobs/ext/3600649-senior-manager-data-science](https://www.wearedevelopers.com/jobs/ext/3600649-senior-manager-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Data Science - **Company:** Bristol Myers Squibb - **Location:** Marina del Rey, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Algorithm Design, Amazon Web Services, Code Review, Data Transformation, Software Debugging, EHealth, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Signal Processing, Systems Integration, Feature Engineering, Deep Learning, Parallel Computation, Git, Information Technology, Feature Extraction, Software Version Control - **Published:** October 7, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/ppleawuv73 ## About the Role * PhD (preferred) or MS with strong experience in Data Science, Biostatistics, Biomedical Engineering, Computer Science, or related field. * PhD 3-5 years, MS 6-9 years, prior experience working on digital health initiatives within pharma industry, medical devices etc.. * Demonstrated hands-on experience with time-series sensor data, including: * QC, preprocessing, artifact handling, imputation, feature engineering for accelerometry/actigraphy * Experience with HRV and/or SpO * Strong Python skills with evidence of shipping code: * Clean, testable code; object-oriented design; modular pipelines * Git/version control, code reviews, and collaborative development practices * Experience with longitudinal statistical modeling for repeated measures data. * Proven ability to translate analytical work into clear deliverables and communicate results to technical and non-technical stakeholders., * "Navigational physics" experience for movement data and/or biomechanical analysis (a plus): quaternions, Euler angles, dead-reckoning, orientation/heading estimation, etc. * Familiarity with sleep analytics and/or circadian cosinor modeling (or willingness to learn open-source libraries). * Experience managing or integrating third-party analytics (e.g., actigraphy QC workflows) and validating vendor outputs. * Experience with scalable compute and deployment patterns, including: * AWS experience; multi-GPU instances and parallelization for model training/inference ## Description 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, SpO ). 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 portion of your time coding, debugging, reviewing PRs, and building reproducible pipelines and models. What You'll Do (Hands-on Responsibilities) * Build and maintain Python pipelines for wearable time-series data, including: * QC, preprocessing, and sensor artifact removal * Imputation (baseline through advanced methods) and feature engineering based on clinical concepts of interest * EDA and signal characterization for accelerometry/actigraphy, HRV, and SpO * Signal processing and signal detection * Develop and validate models for longitudinal sensor data using: * Frequency / time-frequency representations, digital filtering, and representation learning * Quantitative characterization of physiological and clinically meaningful measures provably associated with disease progression or subtyping. * Deep learning approaches (Transformers and/or ensembles) with model explainability techniques where appropriate * Apply statistically rigorous approaches to repeated-measures data: * Longitudinal statistical modeling (e.g., mixed effects / hierarchical models) * Study-appropriate strategies for within-subject dynamics and missingness * Implement strong evaluation practices and reproducible research standards: * Nested CV, LOO, and/or OOB methods where appropriate * Reproducible experimentation, documentation, and well-structured codebases * Collaborate actively with internal stakeholders (clinical, stats, engineering, product) and external partners / third-party analytics providers, including QC and validation of vendor-derived outputs. * Contribute to team excellence via code reviews, technical mentorship (scope depends on level), and raising engineering rigor., * Work at the intersection of digital biomarkers, machine learning, and clinical development * Partner with multidisciplinary teams to advance analytics from real-world and trial-based wearable signals * Build practical, validated solutions with high impact-and write the code that delivers them We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway. How We Work Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working. 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 qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.