University Of Texas

Data Scientist, Statistician

University Of Texas$70K — $100K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Statistics, Biostatistics, Data Science or related field with major coursework in statistics.
  • At least 1 year of collaborative statistical experience, preferably in an academic setting.
  • Proficiency with descriptive and inferential statistical analyses, structural equation modeling, longitudinal analyses, clinical trial data analyses, and preferably, machine learning.
  • Expertise with SPSS or similar software and preferably also with R, Matlab and/or Python.
  • Excellent oral and written communication skills.
  • Excellent organizational and time management skills.

Responsibilities

  • Design, develop and implement applied statistical analyses for complex data sets involving various quantitative variables.
  • Advise regarding the development of rigorous research design and perform sample size and power calculations.
  • Provide guidance on the validity of planned statistical methods and identify potential methodological challenges.
  • Prepare oral, written and graphical reports of statistical methods and results.
  • Collaborate with students and faculty to create reports for dissertations, manuscripts, and grant applications.

Benefits

  • Participation in the Teacher Retirement System of Texas (TRS) for qualifying employees.
  • Access to a typical office environment to foster collaboration and productivity.
Full Job Description
Job Posting Title:
Data Scientist, Statistician
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Hiring Department:
School of Nursing
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Aug 31, 2027
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Location:
UT MAIN CAMPUS
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Job Details:

Purpose

This full-time position provides professional statistical support to students and faculty in the School of Nursing.

Responsibilities
  • Design, develop and implement applied statistical analyses for complex data sets involving clinical, biological, behavioral, psychometric, and other quantitative variables.
  • Advise regarding the development of rigorous and reproducible research design and perform sample size and power calculations
  • Provide guidance regarding the appropriateness and validity of planned statistical methods including identification of potential methodological challenges and limitations and potential solutions for these challenges
  • Prepare oral, written and graphical reports as appropriate of statistical analysis methods and results and collaborate with students and faculty to create relevant reports for dissertations, manuscripts and grant applications


Required Qualifications
  • Master's degree in Statistics, Biostatistics, Data Science or related field with major coursework in statistics
  • At least 1 year of collaborative statistical experience, preferably in an academic setting
  • Proficiency with descriptive and inferential statistical analyses, structural equation modeling, longitudinal analyses, clinical trial data analyses, and preferably, machine learning
  • Expertise with SPSS or similar software and preferably also with R, Matlab and/or Python
  • Excellent oral and written communication skills
  • Excellent organizational and time management skills


Relevant education and experience may be substituted as appropriate.

Salary Range

$70,000+ 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


Importantfor 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.

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About University Of Texas

The University of Texas at Austin is a public research university located in Austin, Texas. It was founded in 1883 and is the flagship institution of the University of Texas System. The university offers over 170 undergraduate and graduate degree programs across 13 colleges and schools. It is known for its strong academic programs in business, engineering, law, and natural sciences. The university has a diverse student body and is committed to providing a high-quality education to all students. It has a strong research program and is a member of the Association of American Universities.
Learn more about University Of Texas
Size
24,000 employees
Industry
Founded
1881

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