Biostatistician

About the role

This position provides professional statistical support to students and faculty in the School of Nursing. It applies advanced statistical modeling, data visualization techniques, and other analytical skills to produce deliverables in response to routine and non‑routine data requests. The role engages in best practices for data‑related activities such as collecting, merging, cleaning, coding, validating, documenting, and updating datasets for analytical use, and 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

Qualifications

• 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

Relevant education and experience may be substituted as appropriate.

Skills

• 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

Benefits

• Eligible for Teacher Retirement System of Texas (TRS) retirement plan (position ≥20 hours/week and ≥135 days)
• Typical office working environment

Pay

Salary range: $77,000+ depending upon qualifications

Schedule

• Weekly scheduled hours: 40
• FLSA status: Exempt from FLSA
• Earliest start date: Immediately
• Position duration: Expected to continue until August 31, 2027
• Location: UT MAIN CAMPUS