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Biostatistician

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: University of Utah
Full Time position
Listed on 2026-01-15
Job specializations:
  • Research/Development
    Data Scientist, Clinical Research, Research Scientist
Job Description & How to Apply Below

Job Summary

The University of Utah Data Coordinating Center (DCC) is seeking a biostatistician to join our collaborative, data‑driven team. The Utah DCC partners with investigators nationwide to provide data management, project management, and statistical expertise for large‑scale multicenter research studies spanning a wide range of clinical and public health topics. As a member of the team, you will contribute to study design, perform statistical analysis, and support reporting and dissemination of results across diverse research areas.

Ideal candidates bring solid knowledge of standard statistical procedures, moderate programming skills in at least one statistical language (such as SAS or R), and familiarity with relational databases and large‑scale data systems. Attention to detail, the ability to critically think through complex analyses, and a collaborative approach to problem‑solving are essential in this dynamic research environment.

This position offers the opportunity to work closely with investigators, data scientists, clinicians, public health experts, and other biostatisticians to advance high‑impact research through data‑driven insights.

The Utah DCC is a full‑service Academic Research Organization (ARO) that operates a comprehensive Clinical and Data Coordinating Center. We support investigators and sponsors in academics, government, and industry with end‑to‑end expertise in research design, management, execution, and analysis. Our mission is to harness the power of collaboration, advance science, move society, and benefit humanity. Our vision is a world where transformative scientific innovation persistently moves society and humanity forward.

The Utah DCC offers a career ladder for biostatisticians and professional development opportunities.

To learn more about the Utah DCC, visit (Use the "Apply for this Job" box below)..

Work Environment and Level of Frequency Typically Required

Often:
Office environment

Physical Requirements and Level of Frequency That May Be Required

Nearly continuously:
Repetitive hand motion (such as typing), hearing, listening, talking, walking

Often:
Sitting, bending, twisting

Seldom:
Repetitive foot motion, climbing, kneeling, squatting, crawling, balancing, reaching overhead, pulling, pushing

Benefits
  • Excellent health care coverage at affordable rates
  • 14.2% retirement contributions فارسی that vest immediately
  • Generous paid leave time
  • 11 paid Holidays
  • 50% tuition reduction for employee, Goes essais, and dependent Children
  • Flex spending accounts
  • Free transit on most UTA services
  • Employee discounts on a variety of products and services, including cell phones & plans, entertainment, health and fitness, restaurants, retail, and travel
  • Professional development opportunities

Learn more about the great benefits of working at the University of Utah: /

Responsibilitiesenchmark guarantee

Ensure the statistical integrity and accuracy of biomedical or clinical research duties. Perform statistical design, modeling, and analysis. Provide statistical summaries and reports of studies in support of product development. Consult with scientists and engineers to ensure proper use of statistical methodology and interpretation of results. Program statistical software packages (e.g., SAS/STAT, Stata, or R) to improve quality and efficiency of life science projects.

May respond to questions from regulatory authorities on statistical issues.

Essential Functions
  • Develop and manage analysis datasets and associated documentation, including dataset specifications and data checks.
  • Perform statistical analyses using standard methods and statistical software (e.g., SAS, R, Stata) and prepare analytic deliverables such as tables, figures, and reports for interim and final results.
  • Interpret and clearly communicate results, including statistical methods, findings, and limitations to both technical and non‑technical audiences.
  • Collaborate with multidisciplinary study teams including investigators, data managers, and other study staff by providing statistical perspective and input across all study stages (study design, enrollment, and post‑enrollment).
  • Maintain quality assurance and documentation…
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