Available Positions

Our faculty and staff at the Department of Genetics and Genomic Sciences and the Icahn Institute for Data Science and Genomic Technology are leading the way in biomedical science and personalized medicine. In addition to the academic and clinical support our faculty and staff receives, you’ll also receive a wide range of personal and professional benefits.

Assistant or Associate Professor in Single Cell Computational Biology and Genomics (tenure track or research track)

Mount Sinai, located in New York, NY is seeking exceptional Assistant or Associate Professor tenure-track or non-tenure track (research track) faculty candidates to lead ambitious data driven research programs in the Pamela Sklar Division of Psychiatric Genomics (DPG) and the Icahn Institute for Data Science and Genomic Technology ( focusing on single cell analysis.

As biomedical research becomes an increasingly data-intensive science, success will require a goal-directed, team-oriented approach in which innovations and ideas developed by computational researchers working on related problems serve to build on and enhance the work of all team members. We seek faculty members interested in working in a fast paced, highly collaborative environment in which interdisciplinary teams of data scientists, technology innovators, and experts in key diseases work together with the shared goal of leveraging large-scale data, coupled with applications of advanced genomic technologies, to predict, test, and translate novel therapies faster and more effectively.

Faculty recruits will be appointed in the vibrant Departments of Genetics and Genomic sciences (5th ranked nationally), Psychiatry (6th ranked nationally) and Neuroscience (1st ranked nationally), which are currently among the top ranked departments nationally based on NIH funding. The appointed faculty will be embedded in an interdisciplinary team of clinicians, wet lab scientists, bioinformaticians, statistical geneticists and computational biologists. DPG studies the genetic mechanisms through which risk genetic variants increase vulnerability for neuropsychiatric traits, including schizophrenia, bipolar disorder and Alzheimer’s disease. Distinguishing features of our research are the generation of large-scale omics data in human brain tissue, including epigenomics and transcriptomics at the single cell level as part of the CommonMind ConsortiumPsychENCODE Project and AMP-AD projects. The appointed faculty will be responsible for developing a program that applies state-of-the-art approaches to perform integrative analysis of high dimensional, heterogeneous single cell omics data combined with other molecular, imaging, and clinical datasets to infer predictive models of biological phenotypes and functional interventions that induce desired phenotypic transitions. Candidates should have advanced training in computational biology and machine learning focusing on single cell analysis, with a track record of innovation in a biomedical application, as evidenced by a strong publication record.

Applicants should have a Ph.D. in computer science, applied mathematics/statistics, computational biology, or another relevant quantitative scientific discipline. M.D. or M.D./Ph.D. candidates with advanced computational training are also encouraged to apply. Applications should include a CV, research plan, and cover letter.

We offer highly competitive recruitment packages, strong institutional commitments to faculty support, comprehensive benefits, relocation services, and a rewarding work and life environment. The Icahn School of Medicine is located in the heart of Manhattan with offices one block from central park.

Review of applications will begin immediately, and will remain open until positions are filled.

Tenure track candidates are expected to obtain independent funding to grow and sustain their research program. Research track candidates are expected to lead core data science initiatives of the Icahn Institute and contribute to funding applications, without an expectation of obtaining independent funding. If you are applying for one position but would like to be considered for both, please state this in the cover letter.


To apply, send your research interests and resume to

Post Doctoral Fellow in Computational Biology

Position Description

We are looking for highly motivated, detail-oriented individuals genuinely interested in research bridging medicine and genomics to join the newly established Tsankov lab at the Icahn School of Medicine at Mount Sinai in New York City. Our lab’s overall vision is to build data-driven, quantitative models that improve diagnosis, find new drug-able pathways, and personalize treatment of patients with lung cancer and respiratory diseases. We process and analyze clinical samples from patients with the goal of unraveling the underlying regulatory mechanisms in normal lung cell homeostasis and interactions with the immune and stromal microenvironment as well as elucidating changes in cellular and tissue regulation in individuals with lung disease. New lab members have the option of being cross-trained to apply and develop computational frameworks and experimental techniques for high-throughput, next generation sequencing (NGS) datasets (e.g. single-cell transcriptomic, epigenomic, and spatial data). The vibrant, multidisciplinary training environment will allow for learning the state-of-the- art in single cell genomics analysis/technologies and for close interactions with clinical scientists and our collaborators at Mount Sinai, the Broad Institute, and Harvard Medical school.

Job responsibilites:

  • Process and analyze NGS and other biomedical data using establishedpipelines.
  • Develop and benchmark new tools for NGS and single cell dataanalysis.
  • Collaborate with researchers in interpretation ofdata.
  • Participate in the preparation of manuscripts, grants, andpresentations.


  • BS, MS, or Ph.D. in computer science, comp bio, or other quantitativediscipline.
  • Team oriented with abilities to think creatively and workindependently.
  • Excellent written and verbal communicationskills.
  • Programming/scripting skills in R, Matlab, Python/Jupyter, Perl, Unix, and/orLSF.
  • Training in machine learning, statistical modeling, and NGS genomic analysis aplus.
  • A genuine love for science andpeople.

Interested applicants please send 1) your CV with a list of publications and research experiences, 2) a short summary of your present and future research interests, and 3) for postdocs a list of three references and their contact information to Alex Tsankov (

Mount Sinai offers numerous career development opportunities and benefits, including subsidized housing for students and postdocs, recreational programs/activities, excellent health, dental, and vision insurance. Compensation will be commensurate with experience. For more information please visit our lab’s website.

Thank you for your interest in our lab!

Postdoc/Scientist: Long Reads and Epigenomes; Pathogen, Microbiome, Human Diseases

Job description Icahn School of Medicine at Mount Sinai (Top-20 medical school in the US) in New York City. Our lab is in the Department of Genetics and Genomic Sciences and the Icahn Institute for Data Science and Genomic Technology.

Our lab (computation + experiment) pioneered the fast growing field of bacterial epigenomics (Nature Biotechnology, 2012; Nature Reviews Genetics, 2018). We also pioneered the use of DNA methylation for high resolution microbiome analysis (Nature Biotechnology, 2018). In addition, we contributed to the discovery of a novel form of DNA methylation (6mA) in mammalian genomes (Nature, 2016; Genome Research, 2018). We have unique expertise in the use of third generation sequencing (Single Molecule Real-Time by PacBio, ~20kbp read length, and the emerging Oxford Nanopore sequencing technology).

We are looking for highly motivated candidates for multiple PostDoc Fellow positions on the topics of Epigenomics, Trancriptomics, Microbiome analysis. We focus on both novel Technology Development, Disease Systems Biology and Precision Medicine. Three research sub-directions

  1. Bacterial epigenomics, epigenetics for the discovery of novel regulators and drug targets in pathogens and their interactions with human.
  2. Human Microbiome. Novel technology for, and its applications to, high resolution characterization of gut microbiome and its important roles in human disease.
  3. Cancer and brain epigenetics. Novel technology for the mapping 6mA in eukaryotic genomes and functional characterization of its functional roles in human diseases.

Successful candidates will have unique opportunities to i) build on our unique expertise in third- generation long read sequencing, large scale collection of clinically relevant samples and a strong network of collaborators, ii) take the lead role in projects developing cutting edge, pioneering genomic and epigenomics technologies in the context of innovative applications with high biological, biomedical and clinical impact. Compensations for successful candidates are highly competitive.

Subsidized housing (in New York City) is also available.

Recent publications: Nature Reviews Genetics, 2018 * Nature Biotechnology, 2018 * Genome Research, 2018 * Nature, 2016 * Cell Reports, 2016 * Nature Communications, 2015 * PLoS Genetics, 2015 * Biological Psychiatry, 2015 * Nature Communications, 2014 * Molecular Psychiatry, 2014 * PLoS Genetics, 2013 * PLoS Computational Biology, 2013 * Nature Biotechnology, 2012 * Genome Research, 2012

View Lab page with details

Requirements: 1a) Candidates with computational background are expected to have solid training in bioinformatics, genomics, epigenomics transcriptomics, or metagenomics, 1b) molecular biology skills is a plus but not required. 2) Ability to learn and master new technologies and skills, 3) Abilities to lead an independent research direction while adapting to a collaborative environment, 4) An innovative yet critical thinker.

How to apply: 

1. 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 or co-first author.


 The Icahn Institute and the Department of Genetics and Genomic Sciences have multiple positions open for postdoctoral fellows, research scientists, and data scientists in the areas of:

  • Statistical Genetics
  • Network Modeling
  • Biological Data Mining
  • Data Science
  • Sequence Bioinformatics


 To apply, send your research interests and resume to

 Lab Websites

 Labs hiring within the Institute and Department focused on the above topics are listed below:


Volunteer with the Department of Genetics and Genomic Sciences

We offer volunteer opportunities in multiple areas across our department, including laboratory work, computer science, administration, and operations. If you're interested in volunteering with us, please get in touch with our Human Resources Manager, Michael Boots at