Our faculty and staff at the Icahn Institute and Department of Genetics and Genomic Sciences 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.

Available Positions

We have positions available within the Institute and Department, as well as our genetic testing lab in Branford, Connecticut.

Job description: Postdoctoral fellow and Research Scientist positions are available in our lab (80% computation + 20% wet). We emphasize biological and biomedical impacts in the design of computational, experimental, statistical and integrative methods. Successful candidates will have unique opportunities to i) build on our unique expertise and momentum of epigenomics, and a strong network of collaborators, ii) synergize effective computational design with innovative experimental design, iii) take the lead role in multiple projects on the innovative use of third-generation sequencing and systems biology to better understand basic biology (bacteria, lower eukaryotes and mammals), human diseases and personalized medicine. Compensations are highly competitive. All employees are eligible for medical, dental, and health insurance. Subsidized housing is available for postdoctoral fellows.

Research problem: Although cytosine methylation has been almost exclusively studied as the DNA methylation in human, methylation (as well as other forms of DNA modifications) of other nucleotides also exists across all kingdoms of life. Recent work by us and others discovered that 6mA has significant functional roles in the regulation of core biological processes (e.g. cell cycle, gene expression, DNA repair etc.) in both prokaryotes and eukaryotes. The research goal and focus of our lab is to explore this young and promising field of 6mA epigenomes, discover other novel types of DNA modifications, their relationship to well-studied DNA/histone modifications, and make fundamentally new discoveries of novel regulatory mechanisms in health and diseases.

Unique expertise: We pioneered the fast growing field of bacterial epigenomics, focusing on pathogens that cause infectious diseases and associated cancers (especially interested in multi-drug resistance and virulence). We are expanding our expertise towards underexplored types of epigenetic variations in eukaryotes.  We have unique expertise in the use of third generation sequencing (single molecule real-time, ~20kbp read length, and the emerging nanopore technique) with advantages of detecting >20 different types of DNA modifications, single molecule-level epigenetic phasing, full-length gene isoforms, complex structural variations, beyond second-generation techniques, in prokaryotes and eukaryotes. We integrate third-generation and second-generation sequencing for functional/comparative epigenomics/genomics and transcriptomics.

Desired skills/experience: Interested? Excited? Join us to reveal the fascinating biology! Candidates with computational background are expected have solid computer programming and statistical skills. Candidates with biology background are expected have basic computer skills and a strong motivation to improve computational and statistical skills. Please send the following to

  1. CV with a list of publications
  2. PDF files for the papers that involve computational and statistical data analyses, in which you are first or co-first author 


Lab website: Fang Lab

The Gumus Lab at the Icahn Institute for Genomics and Multiscale Biology is seeking talented, ambitious individuals to conduct analyses of  genomics datasets to identify cancer predisposing mutations. We study next-generation sequencing data using ultra fast computing. The work is highly interdisciplinary, involving knowledge of computational genomics, statistical genomics, software engineering, and data visualization. We have close collaborations with basic and clinical laboratories to validate our results.

Desired experience:

  • Deep experience in analysis of next-generation sequencing data (RNA-sequencing, exome-sequencing, whole-genome sequencing).
  • Experience in programming related to next-generation sequencing.
  • Experience in network biology, statistical learning, machine learning, etc is a plus.
  • Excellent programming skills in R, C, C++, Javascript.
  • Ability to learn new skills and concepts.
  • Excellent oral and written communication skills.
  • Ability to work independently and within a team effort.
  • Degree in computer science, bioinformatics, computational biology, or related field.

Applicants with deep experience in related fields are also encouraged to apply.

Contact: Zeynep Gumus

Follow us on Twitter: @ZeynepHG

Apply now

The Karr Lab at the Icahn Institute for Genomics and Multiscale Biology is seeking talented, ambitious individuals to develop cutting-edge dynamical models of human and bacterial cells. Despite the explosion of experimental data, we do not comprehensively understand how phenotype arises from genotype. Our approach is to develop computational models which predict how behavior emerges from the molecular level by integrating diverse data into a single model. Our goal is to use models to make medicine more precise and personalized by predicting disease progression and drug responses. We are also using our models to engineer bacteria. Our research is highly interdisciplinary involving computational modeling, software engineering, data visualization, and curation. We have close collaborations with several experimental groups to build and test our models.

Desired experience:

  • Deep experience in scientific computation, software engineering, data visualization, and databases.
  • Strong knowledge of biology, physics, mathematics, and computation.
  • Several years of experience in computational systems biology is a plus.
  • Excellent object-oriented programming skills in Python, MATLAB, and JavaScript.
  • Ability to learn new skills and concepts.
  • Excellent oral and written communication skills.

Abilities to work independently and within a team effort.

Applicants with deep experience in related fields are also encouraged to apply.

Hiring manager: Jonathan Karr

Apply now

The Gumus Lab at the Icahn School of Medicine at Mount Sinai is building data visualization tools in genomics area to help biomedical researchers make sense of large, heterogenous genomic datasets, and to present the information in ways that are clear, interactive, and creative. We have close collaboration with wetlab biologists, clinical geneticists and computer scientists both within our institution and with other leading institutions and companies across the country.

We are currently accepting applications from talented from talented and engaging people who have excellent programming and communication skills to join our group. Knowledge of genomics and/or biomedicine is a plus, but not a requirement. The person who fills this position will be responsible for co-architecting, developing, configuring and operating data visualization portals and/or software.

We’re looking for ambitious and curious (and fun!) people , who have a BS, MS, or PhD in computer science (or related fields). Compensation commensurate with experience and education.

Required experience:

  • At least one year of experience in distributed storage and processing of big data.
  • Production-quality software development in Javascript.
  • Experience with SQL systems (Postgresql, MySQL, SQL Server, etc.), UNIX, R, etc.

Desired experience:

  • A year of experience processing genomics data.
  • Experience with common bioinformatics databases and genome browsers (e.g. dbGap, GenBank, dbSNP, IGV, UCSC, etc).

Because our studies involve team work, as long as you are enthusiastic about learning, we are open to consider you for a position, and train you in needed areas.

Contact: Zeynep Gumus

Follow us on Twitter: @ZeynepHG

The Houten Lab at the Icahn Institute for Genomics and Multiscale Biology is looking for a talented and ambitious postdoctoral fellow to study human metabolism and its genetic disorders. Using a variety of approaches including the study of animal models and CRISPR/Cas9 genome editing in cell lines, the Houten lab aims to understand the phenotypic presentations of Inborn Errors of Metabolism. The ultimate goal is to develop novel therapies for these orphan diseases. The main areas of interest are mitochondrial fatty acid oxidation and amino acid metabolism.

We are looking for individuals with a PhD or MD/PhD in biomedical sciences, biology, biochemistry, or a closely related field and a strong knowledge of metabolism. The candidate should have experience in cell/tissue culture, molecular biology, biochemical analyses and animal models. The candidate should be independent, collaborative, self-motivated and have excellent verbal and written communication skills. The successful applicant will receive a strong training in metabolism, physiology and genetic disease within a dynamic multi-disciplinary environment with access to the Institute’s state-of-the-art facilities.

Hiring manager: Sander Houten

Apply now