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Biostatistician Contractor

$77k

University of Texas at Austin

Biostatistician

  • ---School of Nursing
  • ---Immediately
  • ---Extension of this position is dependent upon renewal of funding, job performance, and department needs.

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.

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

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., Typical Office Environment

Required Materials

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.

  • ---A criminal history background check will be required for finalist(s) under consideration for this position.
  • ---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.
  • ---However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
  • ---You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. E-Verify Poster (English and Spanish) [PDF]

Right to Work Poster (English) [PDF]

Right to Work Poster (Spanish) [PDF]

----Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report.

Vacancy posted 1 day ago
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