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Junior Research Scientist; Accounting - Prof Leonelli, Prof Luneva, Prof Sran, Prof Jung Pro

Job in New York, New York County, New York, 10261, USA
Listing for: New York University
Full Time position
Listed on 2026-01-08
Job specializations:
  • Science
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 51700 - 61500 USD Yearly USD 51700.00 61500.00 YEAR
Job Description & How to Apply Below
Position: Junior Research Scientist (Accounting - Prof Leonelli, Prof Luneva, Prof Sran, Prof Jung, & Pro[...]
Location: New York

NYU Stern Professors Sinja Leonelli, Irina Luneva, Gurpal Sran, Kyle (Jaehoon) Jung, and Aleksander Aleszczyk seek a highly skilled and motivated individual to work as a full-time junior research scientist. This predoctoral position provides an opportunity to gain experience in academic accounting and finance research and would be ideal preparation for a Ph.D. program in accounting, finance, or other related fields.

Research scientists work with faculty to collect and process data, conduct statistical analyses, and provide other support associated with faculty research. The initial contract is for one year, with a potential extension for a second year upon mutual agreement. The start date is subject to negotiation but may be as early as July 1, 2026. Applications will be evaluated on a rolling basis, and all candidates applying by December 31, 2025 will receive full consideration.

In addition to filling in this Interfolio application, can you also complete this survey:

The position will be based in New York City, and the successful candidate will be able to participate in the academic life at NYU Stern, including attending research seminars.

In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $51,700-$61,500. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

The ideal applicant will have:

  • Completed a Bachelor’s or Master’s degree in a quantitative discipline by summer 2026.
  • Strong experience with statistical software such as Stata, R, and SAS.
  • Preferred additional experience in text parsing and analysis, numerical optimization, and/or machine learning techniques (Python, SQL, and/or

    C).
  • Ability to work independently, think critically, and solve problems.
  • Enthusiasm for research.
  • A background in economics, finance, or accounting is a plus, but not necessary?candidates with strong technical backgrounds who are looking for more exposure to academic business research or have an interest in applying for PhD programs are welcome to apply.

To apply, please submit a formal application in Interfolio. Please submit all supporting materials (CV, transcripts – unofficial are fine, two letters of recommendation).

Candidates are also encouraged to enclose a one-page cover letter describing how the research role relates to their future career plans. If applicable, please describe any previous research experience, sample research work, term papers, or theses.

For people in the EU,  for information on your privacy rights under GDPR:(Use the "Apply for this Job" box below)./gdpr

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis.

All interested persons are encouraged to apply for vacant positions at all levels.

Sustainability Statement

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more atnyu.edu/sustainability

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