Postdoctoral position in Computational host-mycobiota interactomics

The laboratory of Dr. Iliyan D. Iliev is looking for a recent Ph.D graduate with a strong background and expertise in one of the following area:

Computational biology/Microbiology/or Immunology with focus on metagenomics, microbiome, transcriptomics, fungal or bacterial genome/ transcriptome analysis, and/or metadata integration and analysis.

Highly motivated individuals with interests in the field of immunology, microbiota (fungal and bacterial), inflammatory diseases or cancer and expertize in computational biology are welcome to apply. The lab studies the interaction between commensal fungi and bacteria and how this interplay influence immune homeostasis, microbiota or diseases of inflammatory and neoplastic origin (Science 359 (6372): 232-6 (2018); Cell Host & Microbe Oct 2018 in press; Nature 491(7422):119-24; Science 336(6086):1314-7; Cell Host & Microbe 19(6):865–73; Nat. Rev. Immunol. 14(6):405-16).

The successful candidate will benefit from excellent scientific and collaborative environment within our interdisciplinary laboratory, the Jill Roberts Institute for research in IBD and Weill Cornell/Rockefeller/Sloan-Kettering Tri-Institutional campus, state of art research facilities, extensive fully characterized disease cohorts, expertise in disease modeling, pyrosequencing platforms, computational biology and access to rare gut mycobiota-centered datasets. The lab has close collaborations with other research programs in the institute investigating immunity and microbiota to translate research findings into mechanisms of human disease. The successful candidate will join a dynamic team of scientists and will have an opportunity to develop and contribute to basic science and translational research projects that are currently undergoing within the lab.

Job Requirements

  • Ph.D. in computational biology, immunology or microbiology (with computational focus) or other related field
  • Background in microbial ecology, cancer, IBD or biology is a plus
  • Expertise in computational methods, tools and databases utilized in genomics / transcriptomics data analysis
  • Experience with high performance cluster computing queuing systems, handling larger datasets, experience with data visualization using R and/or Python, some level of programming skills C/C++ , Python or equivalent is a plus
  • Ability to analyze and interpret statistical data, and communicate results in a clear, concise manner

Please send a curriculum vitae, brief description of research accomplishments, list of publications (published and “in preparation”), and the names of three references to


Iliyan D. Iliev, PhD

Office of Postdoctoral Affairs 1300 York Ave, Suite A-139 New York, NY 10065 Phone: