Postdoc Fellows: Long-read Multi-omics to Characterize Human Diseases

Fang Lab
Department of Genetics and Genomic Sciences
Institute for Data Science and Genomic Technology
Icahn School of Medicine at Mount Sinai

Our lab has rich experience in long read sequencing technology (both PacBio and Oxford Nanopore), systems biology and precision medicine. We use long read sequencing to make new discoveries from the human genome, epigenome and transcriptome (Genome Research, 2018; Nature Genetics, 2019; Science, 2022). We also pioneered the fast growing field of bacterial epigenomics (Nature Biotechnology, 2012; Nature Reviews Genetics, 2018, Nature Microbiology, 2020), and the use of DNA methylation for high resolution microbiome analysis (Nature Biotechnology, 2018; Nature Methods, 2021).


: We are looking for highly motivated PostDoc Fellows to (1) develop innovative epigenomics and transcriptomics technology using long read sequencing; (2) discover novel insights in human diseases; (3) translate basic science discoveries into medical impact.

Successful candidates will have unique opportunities with 

(i) a highly interdisciplinary and innovative lab culture where members with dry/wet background closely discuss and learn from each other; 

(ii) our unique expertise in long read sequencing, multi-omics, rich clinical samples and strong collaborators; 

(iii) take the lead role in projects developing cutting edge, pioneering technologies with high biomedical and clinical impact; 

(iv) strong mentorship in both research and career development; 

(v) Compensations are highly competitive with subsidized housing in New York City.


1) Candidates with computational and/or experimental background are both welcome. 

2) Ability to learn and master new knowledge and technologies, 

3) Abilities to lead an independent research direction while adapting to a collaborative environment, 

4) An innovative yet critical thinker.

How to apply: Please send the following to 1) A brief cover letter, 2) CV with a list of publications, 3) PDF files for the papers in which you are first/co-first author.

Thank you for your interests!

Gang Fang, PhD, Associate Professor