Data Scientist

University of Texas; United States; On-site; USD 69,000 - 85,000; Full time

Job summary

The University of Texas at Austin invites applications for a Data Scientist in the School of Nursing on the UT Main Campus. The role provides professional statistical support to students and faculty, applying advanced modeling, data visualization, and data management to respond to routine and grant-related requests.

The successful candidate will design analytic components, write methods and results for manuscripts, and contribute to grant applications, using R and SPSS to ensure rigor,

Qualifications

• Master’s degree in Statistics, Biostatistics, or Data Science.
• At least 1 year 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 SPSS or similar software.
• Expertise with R.
• Excellent verbal and written communication skills.
• Excellent organizational and time management skills.
• Relevant education and experience may be substituted.

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.

Skills

R

SPSS

Statistical modeling

Data visualization

Communication skills

Time management

Education

Master’s degree in Statistics/Biostatistics/Data Science

Tools

R

SPSS

Job description

Job Posting Title: Data Scientist ---- 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

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

• Master’s degree in Statistics, Biostatistics, or Data Science
• At least 1 year 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 SPSS or similar software
• 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

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.

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.

Pay Transparency

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. 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.

Employment Eligibility Verification

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. 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. Failure to do so will result in loss of employment at the university.

E-Verify

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF]

Compliance

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) and if this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Start Here, Change the World

At The University of Texas at Austin, tradition meets innovation in the heart of a city that frequents lists of the best places to live and work. Named by Forbes as one of America's Best Large Employers for the sixth year in a row in 2025, UT offers both a dynamic work environment and a gateway to vibrant local culture. Whether you're at the forefront of the student experience, conducting world-changing research or supporting the engine that drives Texas’ flagship university, working at UT means making a lasting impact on our city, our state and our world. Our more than 20,000 faculty and staff empower 55,000+ students to challenge ideas, pursue passions and shape their futures. Joining UT, you’ll become part of a community dedicated to making a meaningful impact on campus and throughout the world.

Comments and Inquiries

Email comments to [e-mail]. For questions or concerns regarding equal opportunity only, contact Equal Opportunity Services. Additional information for applicants can be found on the Human Resources web page: Applying for Employment. For more job information, call the Human Resource Service Center at [phone], or toll-free at [phone]. UT Austin is a Tobacco-free Campus