Department of Genetics and Genomic Sciences
Institute for Data Science and Genomic Technology
Icahn School of Medicine at Mount Sinai
Our lab (http://fanglab.bio/) 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). We have rich experience in long read sequencing technology (both PacBio and Oxford Nanopore), systems biology and precision medicine.
Openings: 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 firstname.lastname@example.org: 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.
Tagged as: Life Sciences
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