Senior Biostatistician - MedTech, R/SAS, Cross-Functional

BD; Lexington (KY); On-site; USD 110,000 - 176,000; Full time

Benefits offered by this job

Total Rewards program

Benefits package

Parental leave

Job summary

BD is seeking a Statistician/Biostatistician to support product development, clinical studies, and business decisions in a regulated healthcare environment. You will design studies, develop analysis plans, analyze complex data in R or SAS, and communicate insights to cross-functional teams.

This role requires collaboration, rigorous reporting, and staying current with regulatory requirements. The successful candidate will contribute to protocols, analysis plans, and statistically rigorous

Qualifications

• Master's degree in Statistics, Biostatistics, or related field.
• 3+ years in regulated healthcare or medical device environment with MS.
• Experience applying statistics to product development or clinical studies.
• Proficiency in R and/or SAS programming and reporting.

Responsibilities

• Design, plan, analyze, and interpret studies supporting product development and business decisions.
• Develop and review study protocols, CRFs, and related regulatory docs.
• Develop and maintain statistical analysis plans and code in R and/or SAS.
• Prepare clear statistical reports for internal and external audiences.
• Present findings to cross-functional teams and support publications and presentations.

Skills

Statistical analysis

Biostatistics

Regulatory understanding

Cross-functional collaboration

Education

Master's in Statistics/Biostatistics

PhD preferred

Tools

R

SAS

Job description

BD is seeking a Statistician/Biostatistician to support product development, clinical studies, and business decisions in a regulated healthcare environment. You will design studies, develop analysis plans, analyze complex data in R or SAS, and communicate insights to cross-functional teams.

This role requires collaboration, rigorous reporting, and staying current with regulatory requirements. The successful candidate will contribute to protocols, analysis plans, and statistically rigorous