Data Scientist

utaustin; United States; On-site; USD 77,000 - 98,000; Full time

Job summary

University of Texas at Austin seeks a Data Scientist in the School of Nursing to provide professional statistical support for sponsored research and manuscripts. You will design analytic components, develop models, and code in R as needed, while advising faculty and students on best practices and ensuring rigor and reproducibility.

The role emphasizes collaboration in an academic setting with responsibilities spanning data cleaning, analysis, and writing methods/results for manuscripts and grant

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.

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.

Skills

Advanced statistical modeling

Data visualization

Excellent verbal and written沟通 skills

Organizational and time management

Collaborative statistical experience

Education

Master's degree in Statistics, Biostatistics, or 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 opportu