Senior Medical Biostatistician: Impactful Clinical Analytics

BD; Tennessee; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Retirement plan (401(k))

Paid time off and holidays

Educational assistance

Job summary

BD is seeking a Statistician/Biostatistician to support product development, clinical studies, and business decisions in a regulated healthcare environment. The role partners with cross-functional teams to design studies, develop analysis plans, and communicate insights.

Candidates should have an advanced degree and hands-on programming in R and/or SAS. The ideal candidate will manage multiple projects, ensure quality and regulatory compliance, and contribute to scientific communications and

Qualifications

• Master's or PhD in Statistics, Biostatistics, or related field.
• Experience supporting clinical research, product development, or regulated healthcare/devices.
• Strong study design, analysis, and data interpretation skills.
• Hands-on programming in R and/or SAS.
• Ability to manage multiple projects and influence stakeholders.

Responsibilities

• Design, plan, analyze, and interpret studies and experiments for product development.
• Develop statistical analysis plans and validate analyses in R/SAS.
• Prepare technical reports and contribute to regulatory documentation.
• Present findings to cross-functional teams and support business decisions.
• Stay current with regulatory requirements and industry best practices.

Skills

Statistical analysis

Study design

Regulatory knowledge

Cross-functional collaboration

Data interpretation

Communication

Education

Master's degree in Statistics or Biostatistics

PhD in Statistics or Biostatistics

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. The role partners with cross-functional teams to design studies, develop analysis plans, and communicate insights.

Candidates should have an advanced degree and hands-on programming in R and/or SAS. The ideal candidate will manage multiple projects, ensure quality and regulatory compliance, and contribute to scientific communications and