Biostatistician

About the role

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.

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.
• 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 procedures.
• Cook up with supervising and faculty biostatisticians to prioritize and manage competing project timelines, communicate progress, and proactively address challenges in data or design.
• Contribute to manuscripts, abstracts, and presentations including drafting analysis sections, generating summary outputs, and assisting with methodological explanations.
• Support database and data system development including collaboration on data structure design, data dictionary maintenance, and familiarity with relational databases (e.g., SQL, REDCap, or other clinical data management systems).
• Identify and troubleshoot statistical or data-related issues, proposing potential solutions and escalating as appropriate.
• Engage in continuous professional development, staying current on statistical methods, programming practices, and data management tools relevant to clinical and public health research.

Qualifications

• Experience with SQL or similar query languages and a strong understanding of relational database structures.
• Prior experience working with large, multi-site clinical or public health datasets.
• Demonstrated ability to manage multiple priorities effectively, meet deadlines, and maintain high-quality deliverables in a collaborative research setting.
• Advanced programming proficiency in at least one statistical software package (e.g., SAS, R, Stata), including data manipulation and analysis workflow automation.
• Familiarity with data management tools or platforms such as REDCap, AWS, or other secure research data environments.
• Excellent attention to detail and commitment to accurate, reproducible, and well-documented analytic practices.