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Technical Mentors

Applications for technical mentors are closed.
 
Technical mentors will help prepare for the program during the spring/early summer and will help mentor teams of students during the program.
 
Student fellows will spend the summer working on a project. The program will run Monday, July 15th to Friday, September 13th at Stanford University. The students will be closely mentored to develop the following data science skills: 
  1. Problem-solving
  2. Coding (R/Python, git, etc. )
  3. Ethics
  4. Communication
  5. Teamwork 
The following faculty mentors will work closely with the program throughout the summer: Balasubramanian Narasimhan, Chiara Sabatti, Suzanne Tamang, and James Zou.
 
Description of role
Technical mentor responsibilities before the program: 
  • Help scope projects
  • Prepare technical infrastructure
  • Plan training sessions 
Technical mentor responsibilities during the program: 
  • Mentor a team of four students as they work on their project
  • Run interactive training sessions (e.g. using git as a team, data science ethics, model bias etc.) 
The ideal technical mentor has the following skills: 
  • Effective leader: Working with project partners and teams
  • Passionate educator: Providing students a world-class learning experience
  • Technical skills: R/Python, git, etc.
  • Statistical knowledge 
An example day in the life: 
  • Hold a standup meeting with the team to set priorities for the day
  • Help a student debug their code - Work with a faculty mentor to run a training session on using R/Python for data science
  • Help a student get started on a coding task they have never done before
  • Hold a team meeting whiteboarding out next steps for the team 
 
Compensation
Funding is available for this position. This would include a 50% RA during the spring and a 100% RA during the summer. 
 
FAQ
 
Do I need to be a Stanford student to be a technical mentor?
We expect technical mentors to be Stanford graduate students or postdocs, but if that doesn’t describe you and you’re still interested, please reach out and we’ll consider on a case-by-case basis. 
 
Do technical mentors need to work full-time?
Will I have time to work on my research? We expect the role to be full-time through the summer. However, you’ll likely have a little bit of time here and there while the teams of fellows are working on their project to work on your research etc. 
 
Which project would I work on?
We are still finalizing projects. The projects in the campus call are not the only possibilities. Technical mentors will have some say in the final selection of projects and will be assigned to projects based on their skill set and preferences. 
 
How can I submit my idea for a project that should be part of the program?
Please reach out to the email address below and we will consider on a case-by-case basis. 
 
I have some technical skills and I’m not sure if I should apply as a mentor or a student.
If you’re fluent in R or Python, git, and have extensive statistical knowledge, you are likely qualified to apply as a mentor. If not, we encourage you to apply as a student. Feel free to reach out for a more specific answer to your particular case.
 
Please contact datascience@stanford.edu with any additional questions.