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.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.NYU Langone Healthis 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.[](Langone Medical Center is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, military and veteran status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision.Minimum Salary: 34320.00Maximum Salary: 34320.00Salary Unit: Yearly
Job Title
Senior Computational Biologist / Non-Tenure-Track Assistant Professor / Faculty