Job:Postdoc Fellows @ New York City: Long-read Multi-omics to Characterize Human Diseases
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fanggang ▴ 120

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

Human Epigenome and Alternative Splicing

Fang Lab Department of Genetics and Genomic Sciences Institute for Data Science and Genomic Technology Icahn School of Medicine at Mount Sinai New York City, USA

Our lab (http://fanglab.bio/) 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 (different types of DNA modifications) and transcriptomics (alternative splicing and RNA modifications) technology using long read sequencing and single cell 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 (analysis of sequencing data, either short or long reads) and/or experimental background (molecular biology) are both welcome.

2) Experience with machine learning and systems biology is a plus, but not required, as long as eager to learn.

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

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

5) 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

sequencing RNAseq epigenomics splicing cell single • 515 views
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