Senior Biostatistician, Medical Device & Clinical Analytics

BD; Maryland City (MD); In loco; USD 120.000 - 165.000; Tempo pieno

Vantaggi offerti da questo lavoro

Total Rewards

Health benefits

Commuter support

Descrizione del lavoro

BD is seeking a Statistician/Biostatistician to support product development, clinical studies, and business decisions within a regulated healthcare environment. You will partner with cross‑functional teams to design studies, develop analysis plans, analyze data, and communicate actionable insights.

The ideal candidate holds a Master’s or PhD in Statistics, Biostatistics, or related field and has hands‑on experience in R and/or SAS, regulatory requirements, and reproducible research practices.

Competenze

• Master’s or PhD in Statistics, Biostatistics, or related field.
• Experience in regulated healthcare or medical device environment.
• Experience with R and/or SAS programming.
• Experience supporting clinical research or product development.
• Ability to manage multiple projects and influence stakeholders.

Mansioni

• Design studies and develop statistical analysis plans.
• Analyze complex datasets and deliver actionable insights.
• Prepare technical reports and communicate results to cross-functional teams.
• Ensure compliance with quality, regulatory and business objectives.
• Program, document, and validate statistical code in R/SAS.

Conoscenze

Statistical analysis

R programming

SAS programming

Study design

Regulatory experience

Cross-functional collaboration

Formazione

Master's degree in Statistics/Biostatistics

PhD in Statistics/Biostatistics

Strumenti

R

SAS

Descrizione del lavoro

BD is seeking a Statistician/Biostatistician to support product development, clinical studies, and business decisions within a regulated healthcare environment. You will partner with cross‑functional teams to design studies, develop analysis plans, analyze data, and communicate actionable insights.

The ideal candidate holds a Master’s or PhD in Statistics, Biostatistics, or related field and has hands‑on experience in R and/or SAS, regulatory requirements, and reproducible research practices.