An experimental (“wet-lab”) postdoctoral position in proteomics is available in Dr. Haiyuan Yu’s group at Cornell University. Dr. Yu’s group performs research in the broad area of Network Systems Biology with both high-throughput experimental (see Vo et al., Cell 2016) and integrative computational (see Wang et al., Nature Biotechnology 2012) methodologies, aiming to understand gene functions and their relationships within complex molecular networks (protein-protein interactome networks in particular) and how perturbations to such systems may lead to various human diseases. Representative publications from the lab can be found below. Please visit the lab website (www.yulab.org) for more information and a full list of publications.
This is an experimental (“wet-lab”) position to develop proteomics technologies and carry out large-scale functional proteomics projects (we have a lab-owned state-of-art Thermo Fusion Lumos machine). The ideal candidate should have a strong track record and extensive lab experience in molecular biology, biochemistry, cell biology, and/or genetics. Experience with protein biochemistry (i.e., cloning, purification, co-immunoprecipitation, etc.) and mass spectrometry is strongly preferred. Experience in network biology or systems biology is not required. The starting date is flexible and can be as early as December 2018. Applications will be accepted until the position is filled. Competitive salary commensurate with experience and skills, as well as a generous benefits package will be offered. Interested applicants should send a PDF with CV, a brief description of future research interests (optional), and contact information for three references to Dr. Haiyuan Yu (email@example.com). Please include “Proteomics Postdoc 2018” in the subject line. Informal inquiries are welcome.
- An interactome perturbation framework prioritizes damaging missense mutations for developmental disorders, Nature Genetics, 2018
- A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human, Cell, 2016.
- A Massively Parallel Pipeline to Clone DNA Variants and Examine Molecular Phenotypes of Human Disease Mutations, PLoS Genetics, 2014.
- Integrative annotation of variants from 1,092 humans: application to cancer genomics, Science, 2013.
- Three-dimensional reconstruction of protein networks provides insight into human genetic disease, Nature Biotechnology, 2012.
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