Senior Manager, Data Science
Location: Hyderabad, Telangana, India
Department: Digital Health Data Science
Level: Senior Manager
Travel Requirement: Less than 10%
Company: Bristol Myers Squibb (BMS)
Position Summary
Bristol Myers Squibb Digital Health is seeking a highly skilled and hands-on Senior Manager, Data Science to develop advanced analytics solutions and machine learning algorithms using wearable and sensor-derived longitudinal health data.
This role is focused on end-to-end data science execution, from raw signal processing and quality control through feature engineering, statistical analysis, machine learning, and deployment-ready model development. The successful candidate will work extensively with accelerometry, actigraphy, heart rate variability (HRV), SpO₂, and other physiological sensor data to generate clinically meaningful insights.
This is a highly technical individual contributor role requiring significant hands-on coding, model development, code review, and analytical problem-solving.
Key Responsibilities
Wearable Data Analytics and Signal Processing
Design, develop, and maintain scalable Python pipelines for wearable and sensor-generated time-series data.
Perform:
Data quality control (QC)
Signal preprocessing
Sensor artifact detection and removal
Missing data handling and imputation
Feature extraction and engineering
Signal characterization and exploratory analysis
Analyze data generated from:
Accelerometry
Actigraphy
Heart Rate Variability (HRV)
Oxygen Saturation (SpO₂)
Other digital health sensors
Machine Learning and Model Development
Develop and validate advanced analytical models for longitudinal physiological data.
Apply:
Statistical learning methods
Deep learning architectures
Representation learning techniques
Ensemble learning approaches
Transformer-based models
Implement explainable AI methodologies where appropriate.
Develop models that identify clinically meaningful measures associated with disease progression, patient stratification, and disease subtyping.
Signal Processing and Digital Biomarker Development
Apply advanced signal processing techniques including:
Digital filtering
Frequency domain analysis
Time-frequency analysis
Signal detection algorithms
Support development of digital biomarkers and physiological indicators from wearable sensor data.
Statistical Modeling
Develop and implement longitudinal statistical models including:
Mixed-effects models
Hierarchical models
Repeated-measures analyses
Address challenges associated with:
Within-subject variability
Missing data
Longitudinal study designs
Validation and Reproducible Research
Implement rigorous model validation methodologies including:
Nested Cross-Validation
Leave-One-Out Validation (LOO)
Out-of-Bag (OOB) Evaluation
Maintain reproducible analytical workflows and well-documented codebases.
Ensure compliance with scientific and engineering best practices.
Collaboration and Stakeholder Engagement
Partner with:
Clinical Scientists
Biostatisticians
Software Engineers
Product Teams
External Research Partners
Validate third-party analytics outputs and vendor-delivered models.
Translate complex technical findings into actionable insights for both technical and non-technical audiences.
Technical Leadership
Conduct code reviews and maintain engineering quality standards.
Mentor team members on technical best practices when required.
Promote scalable, maintainable, and production-ready analytical solutions.
Required Qualifications
Education
Preferred:
PhD in:
Data Science
Biostatistics
Biomedical Engineering
Computer Science
Applied Mathematics
Related Quantitative Discipline
Acceptable:
Master's Degree with significant relevant industry experience.
Required Experience
Extensive experience working with wearable and sensor-generated time-series data.
Proven expertise in:
Data quality control
Signal preprocessing
Artifact handling
Imputation methodologies
Feature engineering
Longitudinal data analysis
Experience working with:
Accelerometry
Actigraphy
HRV
SpO₂
Strong background in machine learning and statistical modeling.
Uttar Pradesh :
Agra | Gajraula | Gautam buddha Nagar | Ghaziabad | Gorakhpur | Greater Noida | Jhansi | kanpur | Lucknow | Mathura | Noida | Park City | Prayagraj | Satyamev | Varanasi |Gujarat :
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