Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 54 days ago

Graduate Assistant

Barnard45 open roles

Pay
$33 an hour
Where
New York City, NY
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowGraduate AssistantBarnard · New York City, NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Barnard's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Barnard postings stay open a median of 5 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 54 days ago

Barnard median: 5 days open

The posting

If you are a current Barnard College employee, please use the internal career site to apply for this position.

Job:

Graduate Assistant

The Graduate Assistant at Barnard’s Empirical Reasoning Center (ERC), will assist ERC staff in supporting students, staff, and faculty in engaging in empirical analysis. Specific research and course needs shift each semester, and the Graduate Assistant will flexibly help the ERC staff to address and support those needs.

Job Description:

The ERC seeks GAs to support its mission of advancing empirical reasoning, data literacy, and inclusive data practices across the Barnard curriculum. GAs will contribute to instructional support, workshop development, student consultation, and programmatic initiatives that strengthen the ERC’s role in applied quantitative, qualitative, and spatial learning. We want candidates who are eager to further develop as instructors, analysts, and applied practitioners while contributing meaningfully to curricular and co-curricular initiatives. GAs will work closely with the Senior Associate Director and Associate Director to align their instructional and programmatic contributions with ERC priorities. Each GA will specialize in one of three areas (quantitative methods, GIS and spatial analysis, or data for social impact)

Through sustained engagement in consultations, workshop facilitation, course support, and program implementation, GAs deepen their technical expertise, expand their instructional capacity, and gain experience translating complex analytical methods into accessible learning environments. In doing so, they strengthen both their own professional competencies and the ERC’s ability to meet growing instructional and programmatic demand.

We are hiring two GA's each with a different focus areas:

Statistical Methods & Quantitative Methods GA This GA will focus on strengthening the ERC’s statistical consulting and quantitative instructional support, including applied modeling, reproducible workflows, and advanced data analysis methods.

GIS & Spatial Analysis GA This GA will focus on geospatial technologies and spatial methods, supporting classroom integration of GIS and spatial analysis across disciplines and advancing spatial literacy within the curriculum.

Core Responsibilities

All GAs will:

  • Provide one-on-one and small-group support to students during open lab hours, assisting with coursework and research projects involving tools such as Excel, Stata, R, Python, GIS, and SPSS.
  • Design and teach workshops in support of ERC curricular initiatives.
  • Contribute to ERC events and programs from planning through assessment.
  • Maintain documentation and assist in the continued development of instructional resources.
  • Develop their expertise in applied empirical methods and instructional practice through consulting, workshop design, and course support.
  • Present ERC-related instructional innovations or applied projects at academic or professional conferences.

For events and programming, the GA will focus on supporting and expanding ERC programming that connects data analysis to questions of public impact and responsible data science. The role includes contributing to workshops, collaborative programming, and curricular initiatives that center ethical data practice, algorithmic accountability, and structural analysis.

The ideal candidate will be detail oriented with a strong work ethic, have both excellent quantitative skills and communication skills, and will be comfortable thinking critically about quantitative data.

The time commitment is 10 hours per week. The GA will report to the Senior Associate Director of the Empirical Reasoning Center.

Salary: $33.00/hr

Skills, Qualifications & Requirements:

Knowledge, skills:

  • Experience with teaching undergraduates
  • Intermediate to advanced knowledge of at least one core technology at the ERC (R, Stata, ArcGIS, QGIS)
  • Experience with course preparation and management
  • Strong problem-solving and analytical skills, with experience in statistical modeling
  • Willingness to learn and implement new technologies and workflows

Position Requirements:

  • Understanding of inclusive pedagogy and accessibility in instruction
  • Ability to work independently and as part of a team
  • Strong organization skills and attention to detail
  • Strong communication and interpersonal skills
  • Must currently be a student in a Graduate Program

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the College's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Company:

Barnard College

Time Type:

Part time

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Barnard's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Barnard's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Barnard's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.