Department of Genetics and Genomic Sciences
Institute for Data Science and Genomic Technology
Icahn School of Medicine at Mount Sinai
Our lab (fanglab.bio/) has rich experience in epigenomics (Nature Biotechnology, 2012; Nature Reviews Genetics, 2018, Nature Microbiology, 2020), long read sequencing (Genome Research, 2018; Nature Genetics, 2019), high resolution microbiome analysis (Nature Biotechnology, 2018; Nature Methods, 2021), and systems biology (Molecular Psychiatry, 2014; Cell Reports, 2016; Nature Communication, 2019; Nature Microbiology, 2020)
Openings: We are looking for highly motivated PostDoc Fellows to (1) develop innovative machine learning and AI models for advanced analyses of human diseases; (2) integrate multiple types of -omics data to discover novel disease mechanisms and translate new discoveries into medical impacts.
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 one of the following GWAS, exome or whole genome association analyses of human diseases.
2) Familiar with statistical genetics and/or machine learning.
3) Experience in eQTL or TWAS is a plus but not necessary.
4) Ability to learn and master new knowledge and technologies.
5) Abilities to lead an independent research direction while adapting to a collaborative environment,
6) 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.