Padmi

JPC - 206639 - Statistician/Biostatistician

Remote · Remote Job - YesPosted 1 month ago
Data Science And StatisticsUnspecified
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About the role

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Exact Shift - 8am-5pm, M-F, OT possible

Duration of assignment - 6months, possible extension.

This is a remote role

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.

Qualifications

  • Education

  • • BS in Statistics or Biostatistics + 5 years of experience, OR

  • • MS in Statistics or Biostatistics + 1 year of experience, OR

  • • 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.

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