Key Responsibilities
Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring, novel vital sign and physiological parameter development, disease detection and risk stratification and early warning systems.
Develop algorithms using multi-modal data sources, including physiological waveforms and time-series data such as PPG, blood pressure, capnography and other monitoring signals, bedside and wearable sensor data, electronic health records and structured clinical data, etc.
Apply advanced analytical approaches, including
Classical machine learning models
Statistical modeling and probabilistic inference
Time-series modeling
Signal processing and feature engineering
Deep learning architectures
Multimodal AI models
Transformer-based models and foundation-model approaches where appropriate
Translate clinical and physiological understanding into robust algorithm design, including feature selection, model architecture, performance targets, and clinically interpretable outputs.
Build end-to-end algorithm development pipelines for data ingestion, signal quality assessment, annotation, feature extraction, model training, validation, robustness testing, and post-market performance monitoring where applicable.
Partner with clinical, medical affairs, regulatory, quality, and product teams to ensure algorithms are developed with appropriate clinical context, usability, safety, and regulatory considerations.
Develop and optimize algorithms for cloud environments and for edge or embedded medical devices, accounting for latency, memory, compute, power, cybersecurity, and reliability constraints.
Support verification, validation, documentation, risk analysis, and design controls for regulated medical technology products.
Contribute to intellectual property generation, technical strategy, research roadmaps, and external scientific engagement.
Required Qualifications
7+ years of industry experience in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, medical devices, or related technical areas.
Master’s or PhD degree preferred in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Computational Biology, or a related engineering or quantitative field.
Deep expertise in machine learning and AI model development, including both classical and modern approaches.
Strong hands-on experience with physiological time-series data, biomedical signals, medical device data, or clinical datasets.
Understanding of human physiology, especially as it relates to patient monitoring.
Demonstrated experience developing algorithms from early feasibility through productization or deployment.
Experience working with multi-modal healthcare data, such as sensor signals, EHR data, imaging data, lab data, and clinical outcomes.
Strong programming skills in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent tools.
Experience with cloud-based algorithm development and deployment using platforms such as Azure, AWS, or GCP.
Experience optimizing models for deployment on constrained environments, including embedded systems, edge devices, or near-real-time medical technology platforms.
Strong understanding of model evaluation, including sensitivity, specificity, AUROC, calibration, false alarm burden, clinical utility, robustness, and generalizability.
Excellent communication skills with the ability to explain complex technical concepts to engineering, clinical, regulatory, and business stakeholders.
Preferred Qualifications
Experience developing AI/ML algorithms for regulated medical devices, digital health products, clinical decision support tools, or Software as a Medical Device (SaMD).
Familiarity with medical device development practices, including design controls, risk management, verification and validation, human factors, clinical performance evaluation, and regulatory documentation.
Experience with signal quality assessment, artifact detection, missing-data handling, sensor fusion, uncertainty quantification, and explainable AI.
Familiarity with MLOps, model lifecycle management, version control, data governance, automated testing, and post-deployment monitoring.
At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.
For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.
Why Join Us?
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
To learn more about BD visit https://bd.com/careers.
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
Required Skills
Optional Skills
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- Primary Work Location
- USA CA - Irvine Laguna Canyon
Additional Locations
Work Shift 

 At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance-based culture, as well as a competitive package of compensation and benefits programs.
Benefits may include
Health & Well-being: Medical, dental, vision, health savings and flexible spending accounts, life and disability insurance, wellness resources, mental health support, and disease management programs.
Retirement & Financial Well-being: 401(k), deferred compensation programs, financial counseling, DailyPay, and educational savings resources.
Work-Life Balance & Family Support: Paid time off, company holidays, educational assistance, parental leave, adoption assistance, backup care, caregiving support, employee assistance programs, commuter benefits, pet insurance, legal services, and associate discount programs.
Leave Programs: Bereavement, military, personal, family and medical leave, and jury duty leave.
Additional details regarding benefits and well-being programs can be found in Our Commitment to You.
Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed
Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.
- Salary Range Information
- $129,600.00 - $207,400.00 USD Annual
