Senior Data Scientist

Senior Data Scientist

Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day.

As a Senior Data Scientist, you will work at the intersection of medical devices, clinical data and real-world evidence. Your work will focus on mining, analyzing and developing models from clinical study and real-world datasets. You will collaborate cross-functionally across R&D (systems, software, firmware and hardware), quality, clinical, regulatory, marketing and commercial teams to translate data-driven insights into actionable product development and therapy recommendations.

At Boston Scientific, we value collaboration and synergy. This role follows an on-site work model requiring employees to be in our Valencia, California, office at least four days per week.

Your responsibilities will include:

• Mine and analyze data from company databases to support product development, marketing and clinical activities, and monitor real-world neuromodulation device usage.
• Build custom data models, algorithms and analytics tools that leverage the data pipeline to provide actionable insights into neuromodulation therapy usage, effectiveness and optimization.
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
• Partner with cross-functional teams to implement models, monitor outcomes and identify opportunities to leverage data in support of next-generation device design.
• Participate in intellectual property evaluations and the development of patent applications.
• Ensure data remains secure and appropriately separated across global cloud environments and data centers, including AWS and Azure regions.
• Write internal documentation and contribute to professional articles and technical publications, as appropriate.

Required qualifications:

• Master's degree in data science, biostatistics, computer science, biomedical engineering or a related field and a minimum of 3 years' experience in medical technology or a related industry; or a bachelor's degree in one of the above fields and a minimum of 5 years' experience in medical technology or a related industry.
• Experience with technical computing and programming environments, including but not limited to MATLAB, Python, R, AWS, Azure and associated data analysis tools.
• Strong communication skills with a demonstrated ability to influence senior stakeholders and present to both technical and nontechnical audiences.
• Proven ability to work independently and lead open-ended initiatives from problem definition through delivery.
• Willingness and ability to travel domestically and internationally up to 25%.

Preferred qualifications:

• Doctorate (Ph.D.) in data science, biostatistics, computer science, biomedical engineering or a related field, with an emphasis on biomedical data science applications.
• Deep experience working with clinical datasets, including clinical trials, real-world evidence (RWE) and longitudinal patient data.
• Domain expertise in neuromodulation, neurotechnology or implantable medical devices (e.g., IPG systems).
• Demonstrated ability to translate complex analyses into actionable recommendations that influence product design, clinical strategy or patient outcomes.
• Strong background in advanced statistical modeling and machine learning, including survival analysis, mixed-effects models, causal inference and predictive modeling.
• Familiarity with generative AI and medical technology or data-centric AI tools and agents.
• Familiarity with regulatory environments, including FDA, HIPAA and GCP requirements, and best practices for handling sensitive patient data.

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs.