Postdoctoral Fellow​/Research Scientist

About Fordham

Founded in 1841, Fordham is the Jesuit University of New York, offering an exceptional education distinguished by the Jesuit tradition to more than 16,000 students in its nine colleges and schools. It has residential campuses in the Bronx and Manhattan, a campus in West Harrison, N.Y., the Louis Calder Center Biological Field Station in Armonk, N.Y., and the London Centre in the United Kingdom.

The University offers a comprehensive benefits package that includes medical, dental, and vision insurance; flexible spending accounts; retirement plans; life insurance; short and long‑term disability; employee assistance program (EAP); tuition remission; and generous time off.

Title of Position: Postdoctoral Fellow/Research Scientist

Position Number: PN1195

FLSA: Non‑Exempt

Scheduled Hours Per Week: 35

Department: Psychology RH

Campus: Rose Hill

Work Arrangement: Hybrid

Hybrid Policy: Please review the Hybrid Policy dham.edu/hybrid policy

Reporting to multiple Principal Investigators, the Postdoctoral Fellow/Research Scientist works on the 3E Study, investigating how economic stressors and educational protective factors affect cardiometabolic and oral health outcomes among emerging adult college students. Responsibilities include data analysis (including cardiometabolic, self‑report, and smartphone data). The candidate will assist in preparing manuscripts and conference presentations, oversee and mentor undergraduate/graduate research assistants, and complete other tasks as necessary.

The position is renewable, contingent on funding.

• Analyzes data.
• Prepares publications and conference presentations.
• Applies for additional funding.
• Mentors graduate and undergraduate research assistants.

This list is not intended to be an exhaustive list. The University may assign additional related duties as necessary.

Guides work of other employees who perform essentially the same work and/or student workers. Organizes, sets priorities, schedules and reviews work, but is generally not responsible for final decisions in hiring, performance management or compensation.

• Ph.D. or other relevant graduate degree plus equivalent years of experience in Psychology, Public Health, Sociology, Education, or relevant quantitative social science.
• Minimum of one year of experience analyzing quantitative data from at least one, longitudinal cohort dataset.
• Experience conducting quantitative data management and data analyses using statistical software.

• Experience working in a collaborative, hybrid research laboratory environment.
• Experience with advanced statistics, including multi‑level models, latent profile analysis, and/or causal mediation.
• Experience with academic writing and submitting manuscripts to peer‑reviewed>
• Excellent at communicating quantitative research findings in writing and in presentations (e.g., written, verbal).
• Strengths in organization, time management, and attention to detail.
• Fluent in English.

• Expertise in conducting quantitative data analysis in Stata and/or R.
• Experience with survey data, anthropometric data, daily diary data, and/or accelerometer/other wearable data.
• Experience writing successful Institutional Review Board applications and protocols.
• Experience writing manuscripts for academic journals.

Minimum Starting Salary: $60,000

Maximum Starting Salary: $70,000

Posting Number: A1005P

Number of Vacancies: 1

Start Date: ASAP

Posting Date: 01/14/2026

Please submit the following:

• CV
• One-page cover letter explaining your qualifications and specific interests in the 3E Study
• Writing sample demonstrating how you led and reported on quantitative analyses (e.g., peer‑reviewed manuscript, dissertation chapter). If there are multiple authors (e.g., on a peer‑reviewed manuscript), describe your role.

Fordham University is committed to excellence and welcomes candidates of all backgrounds. Fordham University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.