DescriptionThe 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.
QualificationsApplicants 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
[email protected]Equal Employment Opportunity StatementNYU 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.
