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    Opportunity: Research Assistant/Associate Professor @ University of Pittsburgh -- Pittsburgh, PA (US)
    Submitted by Anuradha Ray; posted on Tuesday, December 03, 2019

    Searching for research assistant/associate professor to support bioinformatics efforts in studies of the immunopathology of steroid-refractory severe asthma to identify novel therapeutic targets.


    In a joint collaboration of the University of Pittsburgh and Pieris Pharmaceuticals, our goal is to develop new therapeutic targets for the treatment of steroid- refractory severe asthma. The University of Pittsburgh is an internationally recognized medical research institute, which excels in basic, translational and clinical research to establish breakthroughs clinical therapies.

    We have an opening for a Research Assistant/Associate Bioinformatician position with joint appointments in the Departments of Medicine and Environmental and Occupational Health at the University of Pittsburgh. As a bioinformatician, you will have the opportunity to collaborate with other bioinformaticians at the University of Pittsburgh including those at the Systems Immunology Center and the Biostatistics department. Your research will involve analysis of bulk and single cell RNA-seq data from immune and lung epithelial cells, mass cytometry (CyTOF) data, and clinical and other related data types. Our goal is to extract biological signals from these data to develop new targets for drug development in the area of precision medicine in asthma.

    A successful candidate will have a strong background in computational biology and bioinformatics and excellent communications skills. You will have the opportunity to co-author papers on novel findings.


    • PhD in bioinformatics, biostatistics, or data science with a strong understanding of the principles of bioinformatics and with 2 or more years of related experience. Or equivalent combination of education and/or experience in the above listed fields.
    • Experience in the application of statistics to biological data. Some experience with RNA-seq and CyTOF data analysis is preferred.
    • Experience in working with a variety of data types
    • Proficiency in R or Python programming for statistical analysis
    • Ability to communicate results verbally and in writing


    To apply for this position please submit cover letter, CV and at least 2 references to Anuradha Ray, Ph.D., Professor of Medicine and Immunology at raya[at] and Sally Wenzel, M.D., Professor of Medicine and Chair, Environmental and Occupational Health, swenzel[at]


    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.

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