Description

FULL TIME POSTDOCTORAL Associate

New York University Tandon School of Engineering

The Maimon lab (https://www.maimonlab.com) at NYU Tandon School of Engineering is seeking to hire a Full time Postdoctoral Associate to work in the area of neural stem cell biology, brain regeneration, neurodegeneration (specifically Huntington's Disease) and neuro-engineering.

Expectations

We are seeking a highly motivated Post Doctoral Associate to join our lab's efforts in advancing regenerative neurobiology and therapeutic genome editing for neurodegenerative diseases. This is a unique opportunity to contribute to both high-impact research and the early development of a new lab at NYU.

Key Responsibilities:

• Design and perform in vivo and ex vivo studies in mouse models of Huntington's Disease (HD), focused on gene editing using CRISPR/Cas9, AAV, and ASO-based approaches.
• Conduct behavioral and molecular phenotyping, and optimize delivery and safety of therapeutic tools.
• Lead or support single-cell and spatial transcriptomics experiments, including MERFISH, immunofluorescence, spatial proteomics, and live-cell imaging.
• Analyze and integrate single-cell datasets using established computational pipelines.
• Help establish protocols, track inventory, and maintain a well-organized and efficient research environment.

Salary range

In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $90,000-$100,000 for full time depending on the candidate's experience and qualification.

Expected start date and period of employment

Expected start date is: January 2027. This position is expected to be for 12 months.

Qualifications

Qualifications

Candidates should have a PhD in computational biology, bioinformatics, microbiology, genomics, systems biology, bioengineering, evolutionary biology, ecology, biophysics, applied mathematics, or a related quantitative field. Strong programming skills in Python and/or R are required. Experience with the analysis of multi-omic datasets (e.g., metagenomics, metabolomics, transcriptomics) and familiarity with gut microbiome research are expected. Familiarity with constraint-based metabolic modeling (e.g., flux balance analysis) and/or machine learning is a plus. Strong written and oral communication skills, interdisciplinary curiosity, a collaborative spirit, and a demonstrated commitment to reproducible and open science are essential.

Candidates for the within-host evolution track should have a strong background in population genomics, comparative genomics, or evolutionary biology. Experience with variant calling, metagenome-assembled genome (MAG) reconstruction, or strain-resolved metagenomic analyses is expected. Familiarity with evolutionary theory as applied to microbial populations-including natural selection, genetic drift, and horizontal gene transfer-is essential.

Experience with single-cell approaches and longitudinal sampling designs is a plus. An interest in linking microbial evolutionary dynamics to host health phenotypes in human cohort data is strongly valued.

Candidates will be required to present eligibility to work in the United States.

Application Instructions

Application instructions

Applicants should submit the following information:

• Cover letter
• up-to-date CV that includes a complete list of publications,
• names and contact information for three references.

Review of applications will begin as soon as possible and will continue until the position is filled.