Biostatistician
Listed on 2026-10-20
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Science
Data Scientist, Research Scientist
Job Posting
Title:
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Hiring Department:
School of Nursing----
Position Open To:
All Applicants----
Weekly Scheduled
Hours:
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FLSA Status:
Exempt from FLSA----
Earliest
Start Date:
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Position Duration:
Expected to Continue Until Aug 31, 2027----
Location:
UT MAIN CAMPUS----
Job Details:
General NotesApplicants must be authorized to work in the U.S. for any employer without sponsorship. This position is appointed annually, currently until August 31, 2027. Extension of this position is dependent upon renewal of funding, job performance, and department needs.
PurposeThis position provides professional statistical support to students and faculty in the School of Nursing. This position applies advanced statistical modeling, data visualization techniques, and other analytical skills to produce deliverables in response to routine and non-routine data requests. Engages in best practices for data-detailed activities, such as collecting, merging, cleaning, coding, validating, documenting, and updating datasets for analytical use. Investigates and applies new tools, algorithms, and processes for data mining and data visualization.
Responsibilities- Performs advanced inferential statistical modeling and data visualization work in direct support of sponsored research and scientific publication
- Independently designs and conducts the analytic components of research projects, from statistical analysis planning through model development, results reporting, and manuscript support, applying established professional standards with only general supervision from a principal investigator, department head, or research director
- Creates original code in R as needed for conducting custom analyses
- Advises faculty and students regarding best practice data analysis strategies
- Supervises data analysis projects to ensure validity, rigor and reproducibility
- Consults with faculty and students regarding data cleaning and management
- Clearly explains data analysis steps and products to faculty and students
- Demonstrates data analysis in SPSS or similar GUI-based software to support faculty and student comprehension of data analysis steps
- Writes methods and results sections for scientific manuscripts
- Writes data analysis plan for grant applications
- Performs related duties as required
- Applicants must be authorized to work in the U.S. for any employer without sponsorship
- Master's degree in Statistics, Biostatistics, or Data Science
- At least 2 years of collaborative statistical experience in an academic setting
- Proficiency with descriptive and inferential statistical analyses, structural equation modeling, longitudinal analyses, and clinical trial data analyses
- Expertise with open-source GUI-based statistical software (e.g., jamovi, JASP, PSPP)
- Expertise with R
- Excellent verbal and written communication skills
- Excellent organizational and time management skills
Relevant education and experience may be substituted as appropriate.
Salary Range$77,000+ depending upon qualifications
Working ConditionsTypical Office Environment
Required Materials- Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
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Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.----
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.----
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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Equal Opportunity
Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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Pay Transparency:
The University…
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