Details **Open Date** 02/14/2025 **Requisition Number** PRN41191B **Job Title** Biostatistician II **Working Title** Biostatistician II **Job Grade** F **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** In-person, hybrid, or remote options are all possible. **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** $59,000-$72,000 **Close Date** 04/30/2025 **Priority Review Date (Note - Posting may close at any time)** 03/14/2025 **Job Summary** The Department of Family and Preventive Medicine at the University of Utah is seeking a highly skilled and motivated Masters-prepared Biostatistician to join our team. This position will focus on quality improvement projects, scholarly projects utilizing data from electronic health records ( EHR ) and/or research data collection, data analytics, causal and predictive modeling, systematic reviews and meta-analyses, and various other research initiatives. The ideal candidate will have a strong background in biostatistics, excellent analytical skills, familiarity with epidemiologic methods, and a passion for improving healthcare outcomes through rigorous and reproducible data analysis. **Responsibilities** **Essential Functions:** * Collaborate with clinician faculty and health researchers on quality improvement projects aimed at enhancing healthcare delivery and patient outcomes. * Design, analyze, and interpret data from independent scholarly and research projects in both community and clinical settings. * Select and implement appropriate statistical methodologies for data analytics, predictive and causal modeling, and risk stratification. * Assist in designing and conducting analytics for population health and value-based care research, including federally funded projects. * Analyze health claims data and clinical trial data to test hypotheses and identify trends and patterns. * Work with data extracted from health information systems, ensuring effective data management and cleaning. * Organize data files and annotate data programs to ensure transparency and reproducibility of research processes. * Develop data visualizations (e.g., figures, tables) to effectively communicate research findings. * Assist in the preparation of manuscripts, grant proposals, and presentations. * Provide statistical consulting and support to faculty, staff, and students within the department. * Work under the supervision of a faculty epidemiologist/biostatistician, who will assist in managing project priorities and providing statistical and epidemiologic oversight. * Advise and coordinate study design and scholarly activities. * Stay current with advancements in biostatistical and epidemiologic methods, health information technology, and statistical software tools. **Preferred Qualifications:** * Master’s degree in Biostatistics, Statistics, Data Science, Public Health, Clinical Investigation, or a related field. * Proficiency in statistical software such as SAS , R, or Stata. * Strong analytical and problem-solving skills. * Experience working with clinicians and health researchers. * Expertise in data analytics, predictive and causal modeling, and risk stratification. * Knowledge of population health, value-based care, and health claims data analysis. * Excellent written and verbal communication skills. * Ability to work independently and collaboratively in a multidisciplinary team environment. * Experience with or knowledge of analytic techniques for clinical trials, systematic reviews, longitudinal cohorts, and routinely collected health data (e.g., EHR ). * Proficiency in data visualization design and data management. * Experience in manuscript preparation, grant writing, and study design coordination. **Minimum Qualifications** This position requires a solid knowledge of standard statistical analysis procedures with a minimum of an MS degree in statistics, biostatistics, a related field, or equivalency (one year of education can be substituted for two years of related work experience), and demonstrated knowledge of at least one statistical programming language such as SAS or R. Experience with Microsoft Office (Word, Excel, PowerPoint). An ability to work on several projects simultaneously and manage deadlines, and excellent communication skills, including the ability to clearly explain statistical techniques and present data results. **Preferences** * Demonstrated ability to manage multiple projects and prioritize tasks effectively. * Familiarity with machine learning techniques and their application in healthcare analytics. * Experience working in academic or healthcare settings. **Type** Benefited Staff **Special Instructions Summary** Interested candidates should submit a cover letter, resume/CV, and contact information for three professional references. Applications will be reviewed on a rolling basis until the position is filled. **Additional Information** 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. The University of Utah values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients. All qualified individuals are strongly 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 ( OEO /AA). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at: https://www.utah.edu/nondiscrimination/ Online reports may be submitted at oeo.utah.edu 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.