Graduate Quantitative Methods Center

Supporting Graduate Student Academic and Professional Success

Job Openings

Scroll down for position descriptions and requirements.

WE ARE CURRENTLY LOOKING TO HIRE PART-TIME CONSULTANTS (10%; average of 4 hrs/week) FOR THE 2024 SPRING QUARTER AND FOR THE 2024-2025 ACADEMIC YEAR. Please scroll down for the link to the online application.

Please check back for hiring announcements. See below for information on requirements for the positions.

GradQuant Lead Consultant
(We are not hiring for the GradQuant Lead Consultant at this time.)

The GradQuant Lead Consultant is responsible for holding quantitative or programming consultations and drop in hours as well as developing and presenting workshops in GradQuant. The lead consultant will also be responsible for administrative tasks, such as maintaining the GradQuant website, scheduling part-time consultants, and creating and maintaining resources for the center. The consultant also assists with promotion of GradQuant through social media and on campus events, and may assist at GradSuccess events as well. This is equivalent to a 50% TA position (salary step is dependent on experience).

Responsibilities:

  • Individual Graduate Student Consultations
  • Conducting Workshops
  • Administrative tasks
  • GradSuccess tasks
  • Social media and website updating

Minimum Qualifications:

  • Must have advanced training in statistical methods or computer programming
  • Must have excellent presentation and communication skills
  • Ability to work in a collaborative environment

Preferred Qualifications: 

  • Experience supervising others in an office setting
  • Experience teaching or TAing statistics or computer programming at UCR
  • Ability to explain concepts in an easy-to-understand way
GradQuant Part-Time Consultants
1 opening available for Spring 2024; up to 4 openings for the 2024-2025 academic year

GradQuant part-time consultants are responsible for holding quantitative consultations as well as developing and presenting workshops in GradQuant. Additionally, the consultants may assist the Lead Consultant with the creation of resources and promotion of GradQuant through social media and on-campus events (e.g., coffee socials). Part-time consultants work 10% during the academic year (average 4 hours/week), are compensated at $23/hour, and may hold other concurrent employment (TA, GSR, or lecturer) with approval from their department graduate advisor.

Minimum Qualifications:

  • Experience teaching or TAing
  • Strong background in quantitative methods training or computer programing
  • Must be able to work in a collaborative environment

Preferred Qualifications: 

  • Understanding of qualitative methods
  • Demonstrated experience in quantitative methods, statistics, and/or programming

Position Information - Lead Consultant and Part-Time Consultant

  • The Lead Consultant is a 50% position for the academic year.
  • Part-time Consultants have a 10% appointment (4 hours per week); compensated at $23/hour; hired quarterly; may be held concurrently with TA-ships, GSRs, and lectureships
  • International students must follow on-campus employment requirements to maintain their student visa status. If you have any questions, please directly contact the International Students and Scholars Office by phone at (951) 827-4113 or via email at internationalstudents@ucr.edu.

All Applicants

GradQuant consultants are responsible for holding quantitative consultations as well as developing and presenting workshops in GradQuant. Additionally, the consultants assist the Lead Consultant with the creation of resources and promotion of GradQuant through social media and graduate student events (e.g., coffee socials).

Consultant Qualifications

  • Currently a graduate student at UCR in good standing
  • Availability to work four hours per week during the hours of 9 am to 5 pm Monday-Thursday
  • Strong background, knowledge, and experience in one or more of the areas listed below: 
    • Basic and advanced statistical analysis methods:
      • At a basic level, desirable experience includes regression methods (linear, logistic, multinomial regression), and frequentist estimation (bias, goodness of fit measures) and inference theory (NHST, power, p-value, confidence intervals)
      • At the advanced level, some examples of desirable experience may include Bayesian statistics, machine learning, classification methods (e.g., LDA, QDA), clustering procedures (e.g., k-means, FMM), and dimension reduction techniques (e.g., PCA, MDA)
      • Experience with causal inference may include methods such as DiD, RDD, and IV.
    • Programming languages, such as Java, JavaScript, R, Python, SQL, C, or C++
    • Bioinformatics
    • Data mining
    • Big-data management
    • Neural networks and deep learning
    • Artificial intelligence
    • MATLAB
    • Stata
    • Digital research methods, such as text mining and analysis, digital mapping and/or GIS, network analysis, digital storytelling (with video/sound/Twine), podcasts, or story maps
      • Please note that you do not have to have experience in all areas listed above. If you have experience in at least one area, consider applying. 
  • Experience teaching or TA-ing
  • Must be able to work in a collaborative environment

Application Documents

  • Application form (follow the link below)
  • Cover letter (uploaded in the application form)
  • CV or resume (uploaded in the application form)
  • Teaching evaluations (if available; Lead Consultant only - can upload in application form or authorize the GradSuccess Director to download them from iEval)

Please prepare your documents before you start filling out the application form.

CLICK HERE TO ACCESS THE ONLINE APPLICATION

If you have any questions, email Jason Chou at jason.chou@ucr.edu.