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Details

**Open Date** 12/02/2025

**Requisition Number** PRN43715B

**Job Title** Biostatisticians

**Working Title** Biostatisticians

**Career Progression Track** P00

**Track Level** P3 - Career, P2 - Developing

**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

Employees must reside in the state of Utah but might have the opportunity to work a hybrid (in-office and remote) work schedule. Possible consideration of a request for a fully remote work schedule, subject to approval and change.

**VP Area** U of U Health - Academics

**Department** 00952 - Division of Epidemiology

**Location** Campus

**City** Salt Lake City, UT

**Type of Recruitment** External Posting

**Pay Rate Range** 47,600 to 90,400

**Close Date** 03/02/2026

**Priority Review Date (Note - Posting may close at any time)** 12/02/2025

Job Summary

Biostatisticians

The Study Design and Biostatistics Center ( SDBC ) at the University of Utah is seeking a highly motivated Master’s-level biostatistician to join a team of approximately 30 biostatisticians and epidemiologists to collaborate with clinical and translational researchers in biomedical research. The successful candidate will work effectively in the Adam Bress Lab on a variety of high-impact projects that apply cutting-edge methods, including target trial emulation and modern causal inference to evaluate the effectiveness, harms, and costs of antihypertensive treatments. The lab uses both randomized trials and large-scale electronic health record ( EHR ) data to study outcomes such as cardiovascular disease, dementia, and cancer. The lab applies advanced causal inference methods to address key challenges in real-world evidence research, including treatment nonadherence, fixed and time-varying confounding bias, irregular assessment times, informative censoring, and unmeasured confounding. The Bress Lab also investigates treatment effect heterogeneity and benefit-harm tradeoffs to generate high-quality evidence that informs clinical decision-making and the design of confirmatory trials.

The successful candidate will contribute to all phases of the research process, including study design, data management, statistical programming, analysis, visualization, and interpretation of results. Responsibilities include writing analysis plans, preparing reports and manuscripts, and clearly explaining statistical methods and findings to diverse collaborators. Candidates should demonstrate strong proficiency in R programming, experience managing and analyzing large-scale datasets (e.g., EHR ), and a commitment to producing accurate, reproducible code. A strong interest in continuously learning new statistical methods, combined with excellent communication skills and the ability to work both independently and collaboratively, is essential. This position offers the opportunity to collaborate with NIH -funded investigators on rigorous methodological research in comparative effectiveness, survival analysis, and causal inference. The role includes mentorship by PhD-level biostatisticians and ongoing opportunities for professional development in a supportive academic environment.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

Responsibilities

+ Clean and manage large, complex datasets; develop reproducible code pipelines, implement quality assurance checks, and maintain clear documentation.

+ Write statistical analysis plans and perform sample size calculations; conduct data analyses; generate reports and graphical summaries; and contribute to presentations and publications.

+ Have a solid foundation in statistical methods, including multivariable regression, longitudinal data analysis, categorical data analysis, and survival analysis.

+ Conduct comparative effectiveness analysis using modern causal inference methods such as inverse probability weighting and related approaches.

+ Implement target trial emulation framework using large-scale observational data sources, including electronic health records.

+ Write accurate, modular, and well-documented R code with an emphasis on reproducibility and transparency.

+ Collaborate effectively with investigators from diverse disciplines and communicate statistical results clearly to both technical and non-technical audiences.

Minimum qualifications:

+ Master’s degree in Biostatistics, Statistics, Data Science, or a related quantitative field

+ Solid knowledge of standard statistical analysis procedures, especially survival analysis and longitudinal data analysis

+ Proficiency in R programming, with demonstrated ability to write accurate, efficient, and well-documented code; experience developing R packages or analytic pipelines is highly desirable.

+ Experience working with large-scale observational data, including data wrangling, cleaning, and harmonization.

+ Familiar with comparative effectiveness research and basic causal inference methods (e.g., counterfactual framework, inverse probability weighting).

+ Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to non-statistical audiences.

+ Demonstrated initiative and ownership of analytic tasks, with strong organizational skills and the ability to manage multiple projects simultaneously.

+ Genuine enthusiasm for learning and applying new statistical methods in collaborative, interdisciplinary research settings.

Minimum Qualifications

**EQUIVALENCY STATEMENT :** 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

**Biostatistician, II:** Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.

**Biostatistician, III :** Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.

Preferences

+ Experience applying target trial emulation frameworks using observational data.

+ Experience using Python for statistical programming and data science applications.

+ Experience using AI-assisted tools (e.g., ChatGPT, GitHub Copilot) to enhance productivity and code quality.

+ Strong organizational skills with the ability to manage competing priorities and meet project deadlines.

+ Demonstrated ability to work effectively in a collaborative, interdisciplinary research team.

+ Prior experience in biomedical or clinical research is desirable but not required.

+ At least one year of experience in a statistical consulting or statistical programming role.

+ Meticulous attention to code accuracy, reproducibility, and documentation; experience with version control systems (e.g., Git) is a plus.

+ Self-motivated and committed to producing high-quality, impactful research in a collaborative setting.

**Type** Benefited Staff

Special Instructions Summary

Additional Information

_The University of Utah values candidates who have experience working in settings with students from all backgrounds and possess a strong commitment to improving access to higher education for all students._

_Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities._

_The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both._

_To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action:_

_Director/ Title IX Coordinator_

_Office of Equal Opportunity and Affirmative Action ( OEO /AA)_

_383 University Street, Level 1 OEO Suite_

_Salt Lake City, UT 84112_

_801-581-8365_

[email protected]_

_Online reports may be submitted at_ **oeo.utah.edu**

_For more information:_

https://www.utah.edu/nondiscrimination/

_To inquire about this posting, email:_

[email protected]

_or call 801-581-2300._

_The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules._

_This position may require the successful completion of a criminal background check and/or drug screen._

_https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South._