Principal Statistician; Data Science

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.

As a Principal Statistician (Data Science), you will play a pivotal role in shaping the future of innovation at Boston Scientific. You will provide technical and statistical leadership that empowers teams within Endoscopy and across our global network to deliver breakthrough solutions. Your expertise will be instrumental in driving new product development from concept to launch, ensuring that every decision is grounded in robust data and statistical insight.

You will be a key mentor and trusted advisor, not only for our R&D organization but also for cross‑functional teams worldwide. By fostering a culture of learning and continuous improvement, you will elevate the statistical & problem solving acumen of engineers, scientists, and technical professionals, helping them translate complex data into actionable strategies that accelerate product development.

Most importantly, your work will directly contribute to launching innovative products that advance patient care. By guiding teams through the rigorous application of statistical methods, you will help ensure our products meet the highest standards of quality and safety to make a tangible difference in the lives of patients around the world.

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week.

• Provide statistical expertise and support to R&D using statistical methods associated with product and process development, design assurance, and problem‑solving in root cause investigations.
• Interpret data and provide insight on the underlying factors driving the results to advise engineers on the best strategies to move forward, not just on the data analysis.
• Apply a variety of statistical analyses and techniques to data generated by R&D, Process Development, and other technical groups.
• Create and maintain statistics‑related procedures and tools for the Marlborough site and the global network.
• Collaborate with Global Statisticians and cross‑functional teams working towards continual improvement of the application and use of statistics across various projects and business initiatives.
• Identify and lead projects that improve efficiencies in product and process development through designed experiments, reduced sampling methodologies, and advanced or automated data analysis.
• Provide feedback to cross‑functional development teams during design reviews on the application and insights from statistical analysis tools.
• Develop and deliver training (classroom and virtual options) on the appropriate use of statistical methods with R&D, Process Development, and other technical groups.
• Perform ad‑hoc statistical analyses and provide guidance as required.
• Demonstrate a primary commitment to patient safety and product quality by maintaining compliance with the Quality Policy and all other documented quality processes and procedures.

• Bachelor’s degree in Mathematics, Statistics, Physics, or Engineering.
• 8+ years’ experience in an industry role, preferably within medical devices; experience in a regulated environment is required.
• 5+ years’ experience using Minitab, Design Expert, or other relevant statistical software.
• Proven ability to apply statistical analysis in a professional setting; highly self‑motivated and results‑driven.

• Master’s or PhD in Mathematics, Statistics, Engineering, or a related field.
• Experience working in or closely with R&D or Development Engineering teams.
• Demonstrated application of statistical tools to support project deliverables (e.g., test method validation, design verification testing).

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