Senior Data Scientist
$89.2kBoston Scientific - Minnetonka
Additional Location(s): US-CA-Valencia Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions.
About the role: 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:
About the role: 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.
- 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%.
- 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.
Vacancy posted 2 days ago
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