Postdoctoral Research Associate

Postdoctoral Research Associate at Princeton University Postdoctoral Research Associate at Princeton University in Raleigh, North Carolina Posted in 5 days ago.

Job Description:

Postdoctoral Research Associate Princeton University:

Office of the Dean of the

Faculty:

Natural Sciences:

Psychology Location:

Psychology Department, Princeton University Salary Range or Pay Grade:

65,000 minimum Description The Department of Psychology at Princeton University invites applications for a postdoctoral research associate position in the Human Diversity Lab, under the supervision of Dr. Kristina Olson. This position is for a postdoc with strong interests in data science, data management, and quantitative analysis. The primary projects involve multi-level, longitudinal analyses on gender diversity and well-being. About 50% of the postdoc's time will involve data management & organization, data documentation, and analysis and about 50% will involve collaborative work on topics of mutual interest. This is an ideal position for someone who is interested in a future career in quantitative psychology, data science, and/or statistical consulting. This is a one-year term position with the possibility of renewal contingent upon continued funding and satisfactory performance. This position is subject to the University's background check policy.

The work location for this position is in-person on campus at Princeton University. Start date is negotiable but ideally around July 1, 2026. Please submit a CV and a cover letter with a link to one quantitative project that you are particularly proud of (including code, open dataset; e.g., github or OSF link) and a description of your technical and research experience. Please also submit contact information (but not letters) for three references at the time of application. Contact Dr. Kristina Olson ( ) with additional questions. Qualifications Essential Qualifications

• A Ph.D. in quantitative psychology or a closely related field with extensive quantitative experience
• Experience with R (including Rstudio and the tidyverse)
• Experience managing large and/or sparse datasets, including contributing to well-documented data pipelines
• Experience with longitudinal and/or multi-level and/or hierarchical data analysis
• Excellent organizational, interpersonal, and communication skills
• Detail-oriented, motivated, efficient, and able to work independently Preferred Qualifications
• Experience studying and/or interest in gender diversity/LGBT health
• Experience with measure validation and/or searching relevant literature to find information about existing measures
• Experience working with sensitive data Application Instructions Please submit a CV and a cover letter with a link to one quantitative project that you are particularly proud of (including code, open dataset; e.

g., github or OSF link) and a description of your technical and research experience. Please also submit contact information (but not letters) for three references at the time of application. Contact Dr. Kristina Olson ( ) with additional questions. Equal Employment Opportunity Statement Princeton University is an 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. Pay Transparency Disclosure The University considers factors such as (but not limited to) the 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. The University also offers a comprehensive benefits program to eligible employees. Please see this for more information. Equal employment opportunity, including veterans and individuals with disabilities.

PI284596452

Salary:

$65.00