Ariel Deardorff
Ariel is the Director of Data Science and Open Scholarship. Contact Ariel for help with data sharing, data management, reproducibility, and open science.

Data Science and Open Scholarship is Hiring a Student Teaching Assistant 

The UCSF Library’s Data Science and Open Scholarship (DSOS) team teaches classes and creates educational resources on programming, scholarly communication, statistics and bioinformatics, data engineering, and data management for UCSF students, faculty, and staff. We are dedicated to building a community of data science and open scholarship learners and practitioners to enable connection, partnerships, and innovation. If you are a student who is excited by the idea of empowering others with data science and/or scholarly communication skills, please consider applying to join our team as a student teaching assistant! 

What you will do

The DSOS Student Teaching Assistant will work approximately 8 hours a week. Working under the guidance of the DSOS Director and other team members, you will:  

  • Assist and co-teach introductory R and Python programming workshops  
  • Offer basic 1:1 programming help to UCSF community members via our Data Science Help Desk 
  • Assist with other projects including updating online course materials, editing workshop recordings, and creating subject guides and help articles 

What you will learn

Through this role the DSOS Student Teaching Assistant will gain:

  • An introduction to best practices in teaching and instructional design
  • Experience supporting hands-on workshops and providing 1:1 training
  • Mentorship from UCSF Library staff 
  • Exposure to a wide range of data science and scholarly communication topics 

What we are looking for in a Student Teaching Assistant 

  • Experience with or enthusiasm for training others
  • Interest in data science and/or scholarly communication
  • Intermediate level of comfort with either R or Python programming language  
    • Not sure if you have the required skills? A Student Teaching Assistant should feel comfortable with the majority of concepts presented in this R workshop or this Python workshop.
  • Availability to work a flexible schedule during business hours (Monday – Friday, 9 a.m. – 5 p.m.) 

Who can apply

Applicants must be:

  • A full-time UCSF student (unfortunately postdocs are not eligible for this role)
  • Authorized to work in the United States


$33 per hour, no fee remission.

How to apply

Please send a CV and a cover letter explaining your interest in the position to Ariel Deardorff at, with the subject, “DSOS Student Teaching Assistant,” by October 23, 2023.