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Job Requirements of Statistician/Biostatistician:
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Employment Type:
Contractor
-
Location:
Remote, OR (Onsite)
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Statistician/Biostatistician
Careers Integrated Resources Inc
Remote, OR (Onsite)
Contractor
Job Title: Statistician/Biostatistician
Location: Remote, IL
Duration: 6+ Months (Possible Extension)
Pay Range: $35 - $45/hr. on W2
Shift:
Responsibilities:
Qualifications:
Education:
Experience:
Knowledge, Skills & Abilities:
Location: Remote, IL
Duration: 6+ Months (Possible Extension)
Pay Range: $35 - $45/hr. on W2
Shift:
- Exact Shift – 8 am – 5 pm, Mon - Fri, OT possible.
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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