Statistics & Data Science Help Desk

QTM is pleased to offer a statistics and data science help desk service

Available to Emory...

  • Undergraduates working on honors theses.
  • Graduate students
  • Faculty
Our Help Desk is staffed by a knowledgeable and friendly expert who is available both by appointment and for walk-ins. Dimitri Zaras, our statistics expert, provides individual assistance with data setup and analysis, data management, and research design, as well as assistance with other quantitative issues related to research.

Office hours are held in Room 412 of the Modern Languages Building. Please email to schedule appointments.

Hours of Operation

Spring 2020 

Monday Tuesday Wednesday Thursday Friday
10:00am-2:00pm 10:00am-1:00pm TBA TBA 10:00am-1:00pm

The Statistics Help Desk will be closed on Monday Jan 20 in observance of Martin Luther King Jr. Day.

The Statistics Help Desk will operate 11am-1pm on Tuesday January 21.

Fall 2019 

Monday Tuesday Wednesday Thursday Friday
1:00pm-4:00pm -- 10:00am-1:00pm 1:00pm-4:00pm --

The Statistics Help Desk will be closed December 18, 2019 - January 13, 2020 in observance of Winter Recess

Summer 2019

Monday Tuesday Wednesday Thursday Friday
By appointment By appointment 9:00am-12:00pm By appointment By appointment

Statistics & Data Science Helps Desk Positions

Statistics & Data Science Help Desk Position

Applications open beginning February 1, 2020 (rolling basis)


The Institute for Quantitative Theory and Methods is looking for graduate students interested in working part time—3 days a week for a total of nine hours a week minimum—staffing a help desk. Responsibilities will include assisting graduate students and honors undergraduate students with statistical and potentially other quantitative issues in their research, data management, and research design. Proficiency with statistical packages is required. Knowledge of other computational modeling techniques is also desirable.

Compensation is $20/hour.

We will begin reviewing applications March 1, 2020. Interested students should send the following items in PDF format electronically to

  • A cover letter that includes information on applicant's training in statistics (and other quantitative methods), all statistical packages and other programming languages with which the applicant is familiar, and the applicant’s level of facility with each. Applicants should also note whether they are more familiar with observational or experimental data, or both.
  • A resume or CV
  • An unofficial transcript
  • Please include “Help Desk” along with your full name in the subject line.
Questions? Contact Eva Lewandowski at