Icahn School of Medicine at Mount Sinai (ISMMS), MSHS

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

Pamela Sklar Division of Psychiatric Genomics (DPG)

New York, NY, United States

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 (datascience.icahn.mssm.edu) 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.


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Position

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