Biostatistician at The University of Texas at Austin in Main Campus, UT

  • Company: The University of Texas at Austin
  • Location: UT Main Campus
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-12

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Job description

Job Posting Title: Biostatistician ---- Hiring Department: School of Nursing ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt from FLSA ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Aug 31, 2027 ---- Location: UT MAIN CAMPUS ---- Job Details: General Notes Applicants 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. Purpose This 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 Required Qualifications 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 Conditions Typical 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 Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within W

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