Onsite Data Scientist & Research Statistician (Nursing)

University of Texas at Austin; Austin (TX); On-site; USD 63,000 - 77,000; Full time

Job summary

UT Austin on the campus in Austin, TX seeks a full-time Data Scientist / Statistician to support School of Nursing research. This on-site role offers a starting salary of $70,000 per year, a 40-hour work week, and exempt status.

You will contribute to reports for dissertations, manuscripts and grant applications. Based at the UT Main Campus, the role aims to produce rigorous analyses and provide mentorship to students, while collaborating with faculty to translate statistics into impactful

Qualifications

• Master’s degree with substantial statistics coursework.
• At least 1 year of collaborative statistical experience.
• Proficiency in descriptive and inferential statistics.
• Experience with SPSS; also R, MATLAB and/or Python.
• Excellent oral and written communication skills.
• Excellent organizational and time management skills.

Responsibilities

• Design and implement applied statistical analyses for diverse data.
• Advise on rigorous research design and perform power calculations.
• Guide on methods validity and address challenges.
• Prepare reports for dissertations, manuscripts and grants.
• Collaborate with students and faculty on reports.

Skills

Statistics

Structural Equation Modeling

Longitudinal analyses

Clinical trial data analyses

Machine learning

Communication

Time management

Collaboration

Education

Master’s degree in Statistics, Biostatistics, Data Science or related field

Tools

SPSS

R

Matlab

Python

Job description

UT Austin on the campus in Austin, TX seeks a full-time Data Scientist / Statistician to support School of Nursing research. This on-site role offers a starting salary of $70,000 per year, a 40-hour work week, and exempt status.

You will contribute to reports for dissertations, manuscripts and grant applications. Based at the UT Main Campus, the role aims to produce rigorous analyses and provide mentorship to students, while collaborating with faculty to translate statistics into impactful