Senior Research Specialist I

Princeton University

Princeton (NJ)

On-site

USD 58,000 - 75,000

Full time

14 days+

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Benefits offered by this job

In-person role

Access to seminars

Job summary

Princeton University in Princeton, NJ, is hiring predoctoral research specialists to assist multiple economics and finance faculty at the Julis-Rabinowitz Center for Public Policy & Finance. The role focuses on data cleaning, empirical analyses, and advanced modeling to support doctoral study preparation.

The ideal candidate will have a strong quantitative background, coding experience, and the ability to work independently.

Qualifications

BA/BS in economics, mathematics, or computer science or related field with coursework in economics/statistics/programming.
Experience with statistical programming in STATA, Python, or R.
Demonstrated interest in empirical social science.
Strong analytical, empirical, and writing skills demonstrated through independent work.
Ability to manage multiple projects and work both independently and in a team.

Responsibilities

Clean, synthesize, and analyze data; produce empirical analyses and advanced models (machine learning, neural nets, LLMs).
Prepare results and design figures for reports and presentations.
Manage data using Python, R, MATLAB, STATA.
Collaborate with faculty, students, and co-authors; coordinate with JRCPPF team.
Independently manage timelines and deliverables; make decisions on research progression.

Skills

Statistical programming

Independent problem solving

Scientific writing

Project management

Machine learning awareness

LaTeX/Unix/Linux familiarity

Education

BA/BS in economics, mathematics, or computer science

Tools

STATA

Python

MATLAB

Julia

LaTeX

Unix/Linux

Job description

Overview

Based in Princeton’s School of Public & International Affairs and under the direction of Prof. Atif Mian, the Julis-Rabinowitz Center for Public Policy & Finance (JRCPPF) promotes research and teaching at the intersection of finance, macroeconomics, and policy. We seek to hire talented and motivated predoctoral research specialists to assist multiple economics and finance faculty working with the center. This position is ideal for graduating students interested in economics or finance, who are planning to pursue doctoral studies within two years. Previous research specialists have been accepted to top Ph.D. programs, including Stanford, Princeton, Harvard, Yale, MIT, Northwestern, London School of Economics, Columbia, NYU, Barcelona GSE, and the University of Maryland.

The ideal candidate will: (i) have a strong quantitative background; (ii) have significant experience with coding and computing; (iii) be able to work independently to solve problems; and (iv) have a long-term interest in economics or finance research. A background in economics or finance is a plus, but not necessary. We welcome candidates with strong technical backgrounds who are looking for more exposure to economics. The position is structured to help individuals prepare for doctoral programs in economics by gaining valuable research experience. In addition to working closely with Center faculty, senior research specialists have opportunities to participate in Princeton University’s vibrant academic life through attending seminars, classes, and interacting with students and fellows at the Center.

This is a term position renewable after the first year. Successful applicants will start in summer 2026 (start date flexible). We strongly prefer candidates who are willing to commit for a period of two years. The position is based in Princeton, NJ, and will be an in-person role. The research specialist will report directly to the faculty and the JRCPPF associate director.

Responsibilities

PRIMARY DUTIES

Clean, synthesize, and analyze data. Produce empirical analysis and more sophisticated statistical models (i.e., machine learning, neural nets, LLMs).
Prepare results and design figures for reports and presentations.
Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA.
Collaborate successfully with faculty, students, and other RAs at Princeton as well as external co-authors.
Independently manage all timelines and deliverables. Exercise independent decision-making regarding the progression of the research projects and methodologies.

Qualifications

ESSENTIAL QUALIFICATIONS

BA/BS in economics, mathematics, or computer science, or in a related field (e.g., public policy, with significant coursework in economics, mathematics, statistics, and/or programming)
Experience with statistical programming in STATA, Python, or R
Demonstrated interest in empirical social science
Excellent analytical, empirical, and writing skills, demonstrated through independent work (e.g. course paper, undergraduate thesis, or independent research)
Ability to handle multiple projects simultaneously and flexibly adapt to changes in priorities; experience working both independently and as a team member; willingness to take initiative and follow projects through to completion.

PREFERRED QUALIFICATIONS

Knowledge of STATA, R, Python, Julia, and/or MATLAB
Familiarity with machine learning methods and algorithmic modeling for large datasets
Experience with LaTeX, Unix/Linux
Evidence of outstanding academic achievement
Familiarity with standard economic and financial data sources, Internettools, and HTML

Important Application Information: Applications will be reviewed on a rolling basis, and as such, we encourage applicants to apply early. Short-listed applicants will be contacted for an interview and technical assessment. Candidates should upload the following as a SINGLE PDF: (Upload to the "Other Documents" field in the online application.)

Cover letter and resume
List of three references
Transcripts from all previous academic programs
A research paper in economics or finance (e.g., independent research, thesis, course paper, etc.)
Sample of code (ideally for the same paper)

All interested candidates are encouraged to apply. At Princeton's School of Public and International Affairs, we believe that it is vital to cultivate an environment that embraces and promotes diversity, equity, and inclusion—fundamental to the success of our education and research mission. This commitment to diversity informs our recruitment and hiring efforts as we actively seek colleagues of exceptional ability who represent a broad range of viewpoints, experiences, and value systems, and who share Princeton University's dedication to excellence.

Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

Standard Weekly Hours

36.25

Eligible for Overtime

Benefits Eligible

Yes

Probationary Period

180 days

Essential Services Personnel (see policy for detail)

Estimated Appointment End Date

7/1/2028

Comments Related to End Date