[Hiring] Research Assistant @Research Foundation of The City University of New York

Role Description

PI is seeking to hire a student with data science training and an interest in marine ecosystems, microbial ecology, and biogeochemistry to work on a project to model the physiological roles of polyphosphate storage in marine phytoplankton. This project will involve a mixture of computer programming and analysis of experimental data, as suits project needs and student interests. This is a part-time program with funding for 100 hours of work, to be completed during the Fall 2026 semester.

Position Duties and Responsibilities

• Help PI with data analysis, literature review, and model development.
• Participate in weekly meetings with PI to set weekly objectives and go over progress.
• Other duties as assigned.

Qualifications

• Bachelor’s Degree in a scientific, engineering, or mathematical discipline OR Bachelor’s degree and experience working on scientific problems.
• Knowledge of at least one programming language, preferably R. Experience in other languages such as Python, Julia, Matlab, C/C++, Fortran, may substitute depending on knowledge level.
• Experience using scientific visualization libraries such as ‘ggplot’.
• Interest in data analysis of marine ecological systems.

Requirements

• To apply, please submit a cover letter and resume.
• Candidates must be authorized to work in the United States on a continuous basis. Sponsorship is not available for this position.

Benefits

• RFCUNY Employee Benefits and Accruals.

Equal Employment Opportunity Statement

The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.