Summer Internship: Data Analyst Assistant (Deadline 6/1/22)

Job Title: Data Analyst Assistant – Summer Computer Science Internship
Employer: Wisconsin School of Medicine and Public Health
Location: UW-Madison Remote
Deadline: June 1st, 2022
To Apply:
Applicants should be interested in working in a lab community that values empirical inquiry, psychological flexibility, and intensive collaboration. Further, our content mission extends beyond the data to holding a healthy skepticism of the word ‘healthy’ and engaging in advocacy efforts to further eating disorder research and treatment. For more information on the EMBARK lab, visit our website: Opportunities to earn credit (academic year) or pay (summer) are available.

If interested, please send a copy of your resume/CV and student transcript to

Qualifications and Requirements


  • Computer Science, Biostatistics, Statistics, or other similar major
  • Competency in R/RStudio
  • Ability to commit to an academic year with the EMBARK Lab


  • REDCap Experience
  • Basic proficiency in additional coding languages commonly used for data management and analysis (SQL; Python)
  • Experience working with metadata
  • Background and interest in open science
  • Background and experience using Git Repositories/GitHub

Job Description

Eating Disorder Lab in the Department of Psychiatry Seeking Data Analyst Assistant/Intern: Full-time Paid Summer Internship

The Eating-related Methodology, Behaviors, and Risk (EMBARK) Lab is a quickly growing lab on campus, seeking research assistants with a background in statistical programming/data science to help with the development and implementation of several projects over the next year. The EMBARK lab is directed by Dr. Katherine Schaumberg, with a focus on the distinction between adaptive and maladaptive patterns of eating and physical activity. RAs in the lab will have direct experience with database management, data cleaning, development of project metadata and master database for all laboratory studies to ensure rigor and reproducibility in analyses, management of analytic code repositories, study tracking databases, descriptive and inferential statistical analysis using R, and involvement in analysis of genomic and behavioral data.

This opportunity is for students who can offer at least an academic year commitment and who would like to pursue graduate education in quantitative psychology, population health, data science, statistical genetics, biostatistics, or a related field. The data analyst intern will work closely with research staff to assist in management of study datasets and databases, including the development of data dictionaries, data coding, quality control, and running basic descriptive and inferential statistics (e.g. evaluating data skew, performing t-tests, regression-based analyses). Statistical analyses will be done primarily using R. Previous experience using R is necessary.