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Yizhe (Crystal) Xu

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Master’s-level Biostatistician Position in Biomedical and Clinical Research at University of Utah University of Utah in United States

I am hiring a Master’s-level biostatistician for biomedical and clinical research at the University of Utah.

University of Utah

United States

Mar 2, 2026

Keywords

Biostatistics
Medical Science
Causal Inference
Survival Analysis
Salud Pública
R Programming
Comparative Effectiveness Research
Stochastic Programming
Statistics

Description

The Study Design & Biostatistics Center (SDBC) at the University of Utah is seeking a highly motivated Master’s-level biostatistician to join a dynamic team of approximately 30 biostatisticians and epidemiologists. The successful candidate will collaborate with clinical and translational researchers on high-impact biomedical and clinical research projects, particularly within the Adam Bress Lab. Research areas include causal inference, target trial emulation, comparative effectiveness, and survival analysis, with a focus on evaluating antihypertensive treatments and outcomes such as cardiovascular disease, dementia, and cancer using both randomized trials and large-scale electronic health record (EHR) data. Key responsibilities involve study design, statistical analysis, data management, and the development of reproducible code pipelines in R. The role also includes writing analysis plans, preparing reports and manuscripts, and communicating statistical findings to diverse research teams. Candidates should have a Master’s degree in Biostatistics, Statistics, Data Science, or a related field, with strong proficiency in R programming and experience managing large datasets. Experience with target trial emulation, causal inference, and comparative effectiveness research is highly desirable. Additional skills in Python, AI-assisted tools, and version control (e.g., Git) are preferred. The position offers a competitive salary range ($47,600–$90,400), full University of Utah employee benefits, and the possibility of hybrid or fully remote work for Utah residents. The SDBC provides a supportive academic environment with mentorship from PhD-level biostatisticians and opportunities for professional development. The University of Utah is committed to diversity, equity, and inclusion, and encourages applications from candidates with a strong commitment to improving access to higher education. Applications are accepted online through the University of Utah employment portal. The deadline for applications is March 2, 2026, but priority review begins December 2, 2025. For more information, visit the official job posting or contact University Human Resources.

Funding

This is a full-time, benefited staff position with a pay range of $47,600 to $90,400 per year. The position includes University of Utah employee benefits and may offer hybrid or fully remote work options for residents of Utah. No tuition or stipend for further study is mentioned.

How to apply

Apply online via the University of Utah employment portal at the provided link. Prepare your CV and cover letter highlighting relevant experience. Ensure you meet the minimum qualifications before submitting your application. Contact University Human Resources for questions about the process.

Requirements

Applicants must have a Master’s degree in Biostatistics, Statistics, Data Science, or a related quantitative field. Required skills include proficiency in R programming, experience with large-scale observational data, and solid knowledge of statistical analysis procedures, especially survival and longitudinal data analysis. Experience with target trial emulation, causal inference, and comparative effectiveness research is preferred. Additional desirable skills include Python programming, use of AI-assisted tools, strong organizational and communication skills, and at least one year of experience in statistical consulting or programming. The ability to work collaboratively in interdisciplinary teams and a commitment to high-quality, reproducible research are essential. Equivalent combinations of education and experience may be considered.

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