Postdoc Fellows: High Resolution Microbiome Analyses and Precision Medicine

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

Our lab pioneered the fast growing field of bacterial epigenomics (Nature Biotechnology, 2012; Nature Reviews Genetics, 2018, Nature Microbiology, 2020). We also pioneered the use of DNA methylation for high resolution microbiome analysis (Nature Biotechnology, 2018; Nature Methods, 2021, Science, 2022). We have rich experience in long read sequencing technology (both PacBio and Oxford Nanopore), systems biology and precision medicine.

Opening: We are looking for highly motivated PostDoc Fellows to (1) develop innovative technologies for high-resolution microbiome characterization; (2) use machine learning and big data approaches to study microbe-host interaction in human diseases; (3) translate new 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) Rich experience in metagenomics (and/or metatranscriptomics) and microbiome research, strong programming and analytical skills. Experience in machine learning is a plus but NOT required.

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.