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. There is a posting on Handshake, but you must apply via this google form to be considered (interns who are selected will be directed to fill out the Handshake posting in order to be paid). Applications will be considered on a rolling basis.
Past Opportunities, currently closed, for fall 2021:
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 2021 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.
Research Assistant at the Office of Institutional Research: OIR is seeking a research assistant to start in the fall semester. This position would support our assessment function, including but not limited to: designing and maintaining the assessment resources website; assisting in programming surveys and preparing data collection instruments; providing logistical support for focus groups, interviews, and surveys conducted by the office; and qualitative and quantitative data analysis. We are especially interested in students who have completed a course in qualitative or quantitative data analysis or research methods and/or who have completed a research or group independent study. This QAI Intern will report to and be paid by the OIR but would join QAI intern meetings for mutual support and sharing ideas.
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. There are possible openings in the fall, and we will also collect names of those interested for future semesters.
Other research assistant positions: The QAI is sometimes asked to find research assistants for projects across campus. There are possible openings in the fall, and we will also collect names of those interested for future semesters.
Previous opportunities, filled or closed:
Visualization Interns: The QAI has been invited to work with LabXchange, Harvard’s new online learning platform, to develop pedagogical materials explaining basic visualizations (histograms, boxplots, etc.) to undergraduates. This work will begin immediately and continue until the end of term 4. Ideally, two students will work on this for 5 hours/week. Open to students who have completed STAT 260, STAT 318, or the QAI Summer Program. These interns will be directly hired by LabXchange and work with both Prof. Pattanayak and the LabXchange team.
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. We are hoping to find a student who is interested in beginning soon and continuing through 2021-2022, so seniors should not apply. Continuing through the summer months may be an option. Approx 5 hours/week.
Full-time Head Teaching Assistant for QAI Summer Program: The QAI Summer Program is a non-credit version of STAT 260 and will be remote in 2021. The Head TA will play a leading role in managing the program, including running several lab sessions each week, coordinating lab sessions run by other TAs, organizing homework grading, updating class materials, and handling both administrative and statistical questions from students. There may also be an opportunity to work on an independent project, such as creating a new tutorial for the online resources. This role requires 35 hours/week for 8-10 weeks, beginning by June 7. Class of 2021 graduates are welcome to apply. Open to students who have completed STAT 260 or the QAI Summer Program.
Part-time Teaching Assistant for QAI Summer Program: The QAI Summer Program is a non-credit version of STAT 260 and will be remote in 2021. Part-time teaching assistants will run lab sessions, grade assignments, and attend weekly TA meetings. These roles require 5-15 hours/week for 8 weeks, beginning the week of June 7. You will have a chance to indicate how many hours you'd like to work and what times you are available, and evening or weekend hours are welcome. We expect that each TA will maintain a consistent schedule over the 8 weeks. Class of 2021 graduates are welcome to apply. Open to students who have completed STAT 260 or the QAI Summer Program.
Assistant for QAI projects in blended learning or online resources: Our expanding online resources allow us to offer statistics material to students and the public during the winter, summer, or any time. This position involves finding and creating pedagogical examples, recording screencaptures, editing video, creating online questions and more.
QAI Consulting Fellow for Bayer Pharmaceuticals: The QAI partnered with Bayer Pharmaceuticals to provide expert statistical advice, particularly on non-randomized, observational drug trials. Tasks involve reading and providing feedback on study concepts, proposals, protocols, and data analyses, reading related medical and statistical papers, and participating in conversations with Bayer statisticians and researchers. Requires QR/STAT 260, STAT 318, and/or QAI Summer Course. This is an especially good fit for students planning to take QR/STAT 309 in spring 2019. This student reports to Casey Pattanayak. Approx 5 hours/week.
QAI Fellow for Visualization of French Texts: The student in this position will have the opportunity to think creatively about designing visualizations and act as statistical experts in a collaboration with humanists. The focus is on text analyses to quantify comparisons of French plays. No knowledge of French needed. Requires QR/STAT 260, STAT 318, or QAI summer course completed. Reports primarily to Hélène Bilis. Approx 5 hours/week.
Matlab and Python Tutor for the Sciences: This tutor holds evening office hours for students in science courses that rely on computation. No particular course is required as a prerequisite, but experience with matlab and python is needed. We would also like to know whether you have any background in physics, chemistry, or other sciences, though this isn’t necessarily required.
Coding in R: This employment opportunity involves roughly 10 hours of coding in R
coding in R, potentially off-campus. Express interest through google form.
R Tutor for PSYC 101 and PSYC 218: This tutor supports students' introduction to programming in R, with a focus on visualization and interpretation of data produced by student research projects.
Intern for Evidence-Based Teaching: This intern supports the work of the Teaching and Learning Assessment Specialist at the Office of Institutional Research. Tasks involve analyzing small data sets and creating visualizations to help faculty evaluate their teaching and implement evidence-based teaching practices.
Guthman Fellow for Pedagogical Apps: This position involves creating an interactive app (via R) to allow students to easily visualize and analyze their data. Requires strong R programming skills and knowledge of or willingness to learn Shiny, an R package for building interactive apps. This is an opportunity to take the lead on developing a resource that will be used by many other students.
Course Development Intern for POL 299: This intern will help develop pedagogical materials for the political science department’s introductory statistics course.
Intern for Survey Design - Foreign Language Extra-Curriculars: This position involves conducting a survey to explore the ways that Wellesley students engage with foreign language learning outside the classroom.
Guthman Fellow for Visualization of a French Text: This position involves creating visualizations based on an existing data set to describe interactions between characters in a French novel. The goal is to refine and extend pedagogical material for French 278, a course taught by Prof. Hélène Bilis, working also with Jen Bartle (LTS) as part of the Digital Humanities Initiatives. The student in this position will have the opportunity to learn about interactive graphics, think creatively about designing visualizations, and act as the statistical expert in a collaboration with humanists.
Statistics Tutor for Math 101 and Math 221: This tutor holds evening office hours and is also available by appointment for students in these two courses.
R Tutor for ES 220: This tutor will provide support for students learning basic programming skills in R, via office hours and/or appointments.
Other projects QAI Interns have recently worked on:
Randomized evaluation of voter engagement program in Ohio
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
Text analysis of faculty interview responses
Analysis of Wellesley shadow grading surveys
Archived opportunities can be found here.