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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).
Opening
: 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.
Requirements:
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
fanggang@gmail.com: 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
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