The QAI is hiring interns in statistics and data science!

The QAI hires students in a variety of roles, and we are also asked to recommend students with statistics and data science experience for positions throughout the college and beyond. QAI Interns meet as a group periodically to discuss work in progress and support each other in their various projects. To keep up to date with opportunities, please join the QAI Announcement Google Group (Wellesley only).


Use this form to apply for open positions or indicate interest in future roles. You may also see a posting on workday, but you must apply via this google form to be considered (interns who are selected will be directed to fill out the workday application in order to be paid). Applications will be considered on a rolling basis.


All internships are paid.



Currently open for fall 2022: 


Pedagogical Intern for QR/STAT 260 and QAI Online Resources: We plan to hire several interns who may split their time between supporting QR/STAT 260 in fall 2022 and helping to enhance the QAI Online Resources. Teaching responsibilities will include holding office hours/help room (perhaps virtually) and grading assignments. In addition, depending on their interest, pedagogical interns may dedicate time to updating and adding to the online resources, including creating new modules. Students in this role may work 5-10 hours/week, according to their preferences. Open to students who have completed STAT 260 or the QAI Summer Program.

QAI Intern in Statistical Consulting: QAI Consulting Interns are a key part of the QAI’s statistical consulting practice, supporting projects and providing advice to faculty and students on research projects across campus. Interns work with Casey Pattanayak (QAI Director) to prepare for consulting meetings; participate in these meetings; and conduct follow-up work with researchers. As appropriate, consulting interns meet with student researchers on their own to provide statistical support. Students in these positions will be exposed to a variety of statistical techniques and their practical applications - this is an apprenticeship in statistics, particularly recommended for students wondering what it’s like to be a statistician. Approx 5 hours/week. Open to students who have completed STAT 260, STAT 318, or the QAI Summer Program.

Assistant to the Director of the QAI: This internship is mostly administrative, but it is helpful if the intern is comfortable using R. Includes updating/redesigning the QAI website, coordinating events, tracking and organizing online resources, etc. Approx 5 hours/week.


Indicate interest for fall 2022 or future: 


Research Assistant for Linguistics Data: This intern will work with Professor Angela Carpenter (linguistics) to analyze experimental data in R. This opportunity is perfect for someone eager to work with real data and practice and extend the data skills developed in modeling classes. Approx 5 hours/week. Open to students who have completed STAT 260, the QAI Summer Program, or STAT 318.

Sports Analytics and IT Intern: The QAI is partnering with College Sports Evaluation (CSE), a company based in Fort Collins, for a data internship. The intern will join the team at CSE, working remotely to gain experience in sports analytics. This could be ideal for a student athlete or someone with a sports background. Skills in Excel, MySQL, and/or python helpful. Use the current QAI application form to express interest. 5-10 hours/week.

Other teaching and tutoring positions: The QAI is sometimes asked to find teaching or tutoring support for courses involving statistics and data analysis at all levels.

Other research assistant positions: The QAI is sometimes asked to find research assistants for projects across campus.


Past opportunities include: 

  • Research Assistant at Office of Institutional Research

  • Course Development for introductory statistics

  • Randomized evaluation of voter engagement program

  • Randomized evaluation of individual v. family therapy for pre-anorexia

  • Randomized evaluation of single-sex v. coed elementary school classrooms

  • Collaboration with neuroscience lab

  • Text analysis of the novel Never Let Me Go, by Kazuo Ishiguro

  • Text analysis of French plays and a novel

  • Text analysis of faculty interview responses

  • Analysis of Wellesley shadow grading survey