Data Scientist

University of Texas; Austin (TX); On-site; USD 77,000 - 88,000; Full time

Job summary

The University of Texas at Austin School of Nursing is seeking a Data Scientist to provide professional statistical support to faculty and students. The role applies advanced modeling, data visualization, and data management to support sponsored research and manuscript preparation.

The successful candidate will have a Master’s in Statistics/Biostatistics/Data Science, strong R and SPSS skills, and experience in collaborative academic environments.

Qualifications

• Master’s degree in Statistics, Biostatistics, or Data Science is required.
• Experience in advanced statistical modeling and data visualization.
• Ability to design analytic components for research projects with general supervision.

Responsibilities

• Provides professional statistical support to students and faculty in the School of Nursing.
• Performs advanced inferential modeling and data visualization for sponsored research and manuscripts.
• Designs analytic components from planning to results reporting and manuscript support.
• Creates code in R for custom analyses as needed.
• Advises on best practices for data analysis and data management.
• Supervises data analysis projects to ensure rigor and reproducibility.

Skills

Descriptive statistics

Inferential statistics

Structural equation modeling

Longitudinal analyses

Clinical trial data analyses

R

SPSS

Excellent communication

Time management

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:PurposeThis 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.ResponsibilitiesPerforms 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 QualificationsMaster’s degree in Statistics, Biostatistics, or Data ScienceAt least 1 year of collaborative statistical experience in an academic settingProficiency with descriptive and inferential statistical analyses, structural equation modeling, longitudinal analyses, and clinical trial data analysesExpertise with SPSS or similar softwareExpertise with RExcellent verbal and written communication skillsExcellent organizational and time management skillsRelevant education and experience may be substituted as appropriate.Salary Range$77,000+ depending upon qualificationsWorking ConditionsTypical Office EnvironmentRequired MaterialsResume/CV3 work references with their contact information; at least one reference should be from a supervisorLetter of interestImportant 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 Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.-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). 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.