Senior Computational Biologist / Non-Tenure-Track Assistant Professor / Faculty Research Scientist

Description

The Skok Lab at NYU Grossman School of Medicine seeks a senior computational scientist to lead single-molecule and 3D epigenomics analyses. The position focuses on developing pipelines and machine-learning models for Oxford Nanopore and PacBio long-read data (nano-NOMe-seq) and integrating these with Hi-C/Hi-CHIP and transcriptional datasets to explore chromatin topology, nucleosome organization, and gene regulation.

The successful cadidate will be given an NYUGSOM faculty appointment as a non-tenure-track Assistant Professor, with opportunities for leadership and co-corresponding authorship.

Qualifications

Applicants should have a PhD and extensive experience with long-read or single-molecule data, strong coding skills (Python/R), and a record of innovation in computational epigenomics and machine learning.

Application Instructions

Upload CV, 1 page research statement and 3 contact references; also email materials to Jane.Skok@nuyulangone.org

Equal Employment Opportunity Statement

NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.