Senior Medical Statistician
BD
We are the people who give possibilities purpose BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. We are seeking a Statistician/Biostatistician to support product development, clinical studies, and business decision-making within a regulated healthcare or medical device environment. This role partners closely with cross-functional teams to design studies, develop statistical analysis plans, analyze complex data sets, and communicate actionable insights. The successful Statistician will apply advanced statistical methodologies, program and validate analyses in R or SAS, prepare technical reports, and help ensure projects meet quality, regulatory, and business objectives. The ideal candidate holds a Master's or PhD in Statistics, Biostatistics, or a related quantitative field and has experience supporting clinical research, product development, or other regulated healthcare/device environments. They possess strong expertise in study design, statistical analysis, and data interpretation, along with hands-on programming experience in R and/or SAS. This individual is comfortable managing multiple projects simultaneously, collaborating across functions, and influencing stakeholders without direct authority. Experience with reproducible research practices, regulatory requirements, manufacturing, quality, or continuous improvement initiatives is highly desirable. Partner with Medical Affairs and cross-functional project teams to design, plan, analyze, and interpret studies and experiments that support product development and business decision-making. Contribute to the development and review of study protocols, case report forms, and other clinical and regulatory documentation. Program, document, validate, and maintain statistical code in R and/or SAS for data management, analysis, visualization, and reporting. Deliver high-quality statistical analyses and insights that support project milestones across multiple products, platforms, and business functions. Stay current with emerging statistical methodologies, industry best practices, and evolving regulatory requirements. Present statistical findings to cross-functional stakeholders and contribute to scientific publications, conference presentations, and external communications as appropriate. Master's degree in Statistics, Biostatistics, or a related quantitative field (or equivalent combination of education and experience).
- 3+ years of experience with a Master's degree, in regulated healthcare, life sciences, or medical device environment.
- Demonstrated experience applying statistical methods to product development, clinical research, and/or clinical trials.
- Proficiency in programming, documenting, and validating statistical analyses using R and/or SAS.
- Experience managing multiple projects and priorities simultaneously in a fast-paced environment.
- Experience with technical report writing and presentation of statistical findings.
- PhD in Statistics, Biostatistics, or related quantitative discipline.
- 1+ years of professional experience with a PhD
- Experience applying statistical methodologies in manufacturing, quality, regulatory, process improvement, or operational excellence initiatives.
- Knowledge of and experience working in a reproducible research environment.
- Working knowledge of applicable healthcare, clinical, and medical device regulations, with the ability to independently apply regulatory requirements.
- Experience supporting submissions, regulatory interactions, or compliance-related statistical activities.
- Publication or presentation experience at scientific conferences, industry forums, or peer-reviewed journals.
- Prior experience working across multiple product lines, business units, or global project teams.
- Demonstrated ability to drive continuous improvement through data-driven decision making and statistical innovation.
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