-
Biostatisticians I
- University of Utah (Salt Lake City, UT)
-
Details
**Open Date** 12/02/2025
**Requisition Number** PRN43726B
**Job Title** Biostatisticians
**Working Title** Biostatisticians I
**Career Progression Track** P00
**Track Level** 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
Hybrid schedule with possible 1-2 days per week in the office.
**VP Area** U of U Health - Academics
**Department** 00958 - DFPM-Administration
**Location** Campus
**City** Salt Lake City, UT
**Type of Recruitment** External Posting
**Pay Rate Range** $60,000 DOQ
**Close Date** 12/12/2025
Priority Review Date (Note - Posting may close at any time)
Job Summary
Biostatisticians
We are seeking a skilled and detail-oriented individual to join our team as a Data Analyst for NIH funded studies in our division focusing on Women’s Health and Sleep. The biostatistician will be responsible for a variety of tasks for ongoing projects including managing survey instruments and data acquisition, providing data quality reports and conducting data analysis.
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
**Developing data collection tools:** Prepare and administer survey tools in Qualtrics, develop tools to monitor enrollment and data quality.
**Data collection monitoring:** Administer daily ecological monitoring assessment surveys to study participants using Survey Signal and other text-message based platforms. Monitor acquisition of data from survey signal, Fitbit, Qualtrics and other data sources if needed.
**Data Cleaning and Preparation:** Clean, validate, and prepare datasets for analysis, ensuring data quality and integrity. Handle missing data, outliers, and inconsistencies appropriately.
**Statistical Modeling:** Develop and apply appropriate statistical models to analyze complex health data, including regression models, survival analysis, hierarchical models, mediation analyses, validation work, and other relevant techniques with guidance from team Principal and Co-Investigators.
**Longitudinal Data Analysis:** With guidance from team Principal and Co-Investigators, conduct longitudinal data analysis using appropriate methods such as mixed-effects models, test for effect modification, and conduct formal mediation analyses.
**Population Databases:** Utilize population-level databases, such as electronic health records or Utah Population Database, to extract relevant information and perform statistical analysis.
**Causal Inference:** Apply causal inference methods to evaluate confounding in observational studies.
**Data Visualization:** Generate clear and informative data visualizations, graphs, and charts to present analytical findings and facilitate understanding by both researchers and the lay public.
**Quality Assurance:** Ensure accuracy and reliability of analysis results by conducting rigorous quality assurance checks and validating analytical outputs.
**Collaboration and Communication:** Collaborate effectively with interdisciplinary teams, including researchers, clinicians, and other data analysts. Clearly communicate analysis methods, results, and implications to both technical and non-technical audiences.
**Machine Learning (Plus):** Utilize machine learning techniques to analyze health outcome data, develop predictive models, and identify patterns and trends in large datasets.
Biostatistician, I
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. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.
Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.
This is an Entry-Level position in the General Professional track.
Job Code: P57141
Grade: P16
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, I:** Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.
Preferences
* Education: Bachelor’s degree in a relevant field (e.g., statistics, epidemiology, biostatistics, public health) or equivalent experience. Master’s degree is a plus.
* Experience: Minimum of 2-3 years of experience in statistical data analysis, preferably in a health sciences or healthcare setting.
* Experience with ecological momentary assessment ( EMA ), wearable devices (Fitbit) and survey platforms (Qualtrics)
* Longitudinal Data Analysis: Strong understanding and practical experience with longitudinal data analysis methods, including mixed-effects models.
* Population Databases: Familiarity with large-scale population-level databases, such as electronic health records, Utah Population Database, or administrative claims databases.
* Causal Inference: Knowledge of causal inference methods (e.g., directed acyclic graphs), mediation analyses, and related techniques to address confounding factors in observational studies and assessment of direct and indirect effects.
* Machine Learning (Plus): Experience with machine learning techniques and tools for health outcome research, including classification, regression, clustering, and deep learning algorithms.
* Statistical Software: Proficiency in statistical software such as SAS , Stata, R or Python, including relevant packages for data manipulation, visualization, and statistical modeling.
* Data Management: Strong data management skills, including data cleaning, merging, and transformation.
* Analytical Thinking: Strong analytical and problem-solving skills, with the ability to approach complex research questions and data challenges.
* Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
* Time Management: Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
**Type** Benefited Staff
Special Instructions Summary
Additional Information
_The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented 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_
_Online reports may be submitted at_ **oeo.utah.edu**
_For more information:_
https://www.utah.edu/nondiscrimination/
_To inquire about this posting, email:_
_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._
-