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Posted: 02-May-26
Location: New York, New York
Categories:
Internal Number: 2095
The ability to faithfully store and retrieve memories is an important adaptive quality that allows humans to reflect on, engage with, and respond to an ever-changing environment. Research in the Laboratory of Neural Dynamics and Cognition, led by Dr. Priya Rajesethupathy, focuses on observing and manipulating large-scale neural dynamics in real-time in behaving animals to understand memory processing in the mammalian brain during health and disease.
Overview
We are seeking a Research Assistant to contribute to in vitro studies, including the routine maintenance of mammalian tissue cultures and validation through bench-based experiments. This role offers opportunities to develop additional skills, with potential involvement in in vivo work over time.
Responsibilities
Responsibilities include:
- Daily maintenance of tissue cultures
- molecular work (e.g. qPCR)
Qualifications
REQUIRED QUALIFICATIONS:
- Bachelor's degree is required
- Coursework or academic exposure in Molecular Biology is required
- At least one year of hands-on experience with mammalian tissue culture, including the ability to perform standard techniques with minimal supervision
- Commitment of at least two years is required
PREFERRED QUALIFICATIONS:
- Experience with 2D and 3D tissue cultures
- Experience working with stem cells
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $50,000.00/Yr.
Compensation Range: Max
USD $55,000.00/Yr.
