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Biostatistician

Remote / Online - Candidates ideally in
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: University of Utah Health Research
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-01-01
Job specializations:
  • Research/Development
    Data Scientist, Clinical Research
Job Description & How to Apply Below

Open Date 11/24/2025
Requisition Number PRN
43671B
Job Title Biostatisticians
Working Title Biostatistician
Career Progression Track P00
Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro
FLSA Code Professional
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Shift Day
Work Schedule Summary Full-time, 40 hours per week. Monday – Friday. This position offers a flexible, mostly remote work schedule for candidates who reside along the Wasatch Front. While most duties can be performed remotely, the employee must be available to attend essential meetings and events on campus as needed. This position may require occasional travel.
VP Area U of U Health - Academics
Department 02228 - Data Coordinating Center
Location Campus
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range Depends on Experience
Close Date 02/24/2026

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.
For more information, visit (Use the "Apply for this Job" box below)./UtahDCC
.

Responsibilities

Ensure the statistical integrity and accuracy of biomedical or clinical research data. 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 standards for all analytic work to ensure reproducibility, transparency, and compliance with Utah DCC standard operating…
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