Postdoctoral positions in host-mycobiota interactions with focus on fungal “mycobiota” immune interactions in the gut, gut-lung or gut-brain axis are available at Weill Cornell Medicine, NYC; https://ilievlab.weill.cornell.edu/. The laboratory of Dr. Iliyan D. Iliev is looking for a recent Ph.D. graduates with a strong background and expertise in one of the following areas:
- Immunology (expertise in antibody-mediated immunity / B cell biology or innate immunity is preferred) or
- Computational biology (strong quantitative background) or
- Fungal (or bacterial) genetics and molecular biology (experience in cloning/ CRISPR/ etc.)
The lab studies the interaction between commensal fungi and host immunity and how this interplay influences immune homeostasis of the gut, lung and the brain; microbiota or human diseases with intestinal component (Cell 184 (4): 1017 (2021); Cell Host & Microbe 27(5):823-829 (2020); Cell 183(2):411-428 (2020); Science 359 (6372): 232(2018); Science 365(6452): eaaw4361(2019), Cell Host & Microbe 24(6) 847-56 (2018); Science 336(6086):1314-7; Cell Host & Microbe 19(6):865–73; Nat. Rev. Immunol. 14(6):405-16).
Specific projects will be discussed with potential applicants depending on their field of expertise and interests. Projects are centered around several main themes (not in specific order) with specific focus on fungal microbiota: computational mycobiome-centered tools development and analysis; antibody-mediated immunity; early life immune development and disease predisposition; fungal genetics; diseases of inflammatory origin: IBD and allergic airway disease; gut-mediated systemic immunity with focus on gut-lung & gut-brain axis.
We provide excellent scientific and collaborative environment within our interdisciplinary laboratory https://ilievlab.weill.cornell.edu/, the Jill Roberts Institute for research in IBD and Weill Cornell/Rockefeller/Sloan-Kettering Tri-Institutional campus, state of art research facilities, extensive disease cohorts, expertise in immunology, microbial databases, CRISPR- centered platforms for microbial manipulation, expertise in disease modeling, computational biology and access to rare gut mycobiota-centered datasets. The lab has close collaborations with other research programs nationally and internationally, investigating immunity and microbiota to translate research findings into mechanisms of human disease.
Job Requirements
Ph.D. in a field related to computational biology, or microbiology (fungal genetics or molecular biology focus) or immunology (antibody mediated immunity or innate immunity).
For computational position: Quantitative background, R and/or Python, some level of programming skills C/C++ , Python or equivalent. Experience with high performance cluster computing systems, handling large datasets or expertise in tool development is a plus but not requited.
For the microbial genetics position: molecular biology and gene editing expertise, experience with microbial (ideally fungal) genetics, experience with tools for genetic analysis.
For the immunology position: Experience in immunology, expertise in antibody-mediated immunity or antibody cloning preferred.
Applicants are encouraged to submit curriculum vitae, brief description of research accomplishments, list of publications (published and “in preparation”), and the names of three references into a single document to Iliev@med.cornell.edu.
Salary for this position ranges from $58,500 - $66,538. Weill Cornell Medicine provides the above salary range in compliance with the New York City law on Salary Transparency in Job Advertisements. The salary range listed is for full‐time employment not including benefits, bonuses, or clinical incentive compensation where applicable. The above salary range for New York City based roles represents WCM’s good faith and reasonable estimate of possible compensation at the time of posting. Weill Cornell Medicine is an Equal Employment Opportunity Employer and provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.
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