Job Description
Duties and Responsibilities:
- Write and review statistical analysis plans for analytical and clinical validation studies.
- Apply DOE principles, conduct statistical analyses, and clearly communicate interpretations.
- Calculate clinical accuracy metrics (PPA, NPA, PPV, NPV) and deliver analyses to support regulatory filings.
- Generate tables, listings, and figures aligned with study protocols.
- Review and QC statistical outputs from peers, ensuring scientific integrity.
- Write and validate SAS code and macros to support standardized workflows.
- Collaborate in cross-functional study teams, contributing data-driven insights that influence key decisions.
- Partner with colleagues across functions to advance innovative diagnostics.
Education:
- BS in Statistics or Biostatistics + 5 years of experience.
- MS in Statistics or Biostatistics + 1 year of experience.
- PhD in Statistics or Biostatistics.
- SAS programming certification is a plus.
Experience:
- Proven experience as a statistician in IVD, medical devices, pharmaceutical, or life sciences settings.
- Strong SAS (BASE, STAT, MACRO, GRAPH) programming Skills.
- Experience analyzing complex data from multiple sources and familiarity with CLSI standards.
- Knowledge of Next-Generation Sequencing (NGS) is a plus.
Knowledge, Skills & Abilities:
- Solid understanding of statistical theory, experimental design, and clinical trial methodologies.
- Proficiency with linear and non-linear modeling, mixed models, categorical and nonparametric methods, bootstrapping, multiple imputations, and sample size calculations.
- Ability to manage multiple projects in a fast-paced environment.
- Skill in translating scientific questions into practical, data-analytic solutions.
- Excellent written and verbal communication skills — able to simplify complex ideas and build strong partnerships.
- Flexibility to work across multiple time zones when needed.