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

Overview

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 Pac Bio 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.

• Lead analyses and develop pipelines and machine-learning models for long-read and single-molecule data, and integrate these with Hi-C/Hi-CHIP and transcriptional datasets to study chromatin topology, nucleosome organization, and gene regulation.

• PhD and extensive experience with long-read or single-molecule data.
• Strong coding skills (Python/R).
• A track record of innovation in computational epigenomics and machine learning.

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.