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