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Post-doctoral scholar opportunity in Computational Biology at Stanford University

Employer
Stanford University
Location
Stanford, California
Salary
$60-75K
Closing date
Apr 15, 2019

Post-doctoral scholar opportunity in Computational Biology at Stanford University

A post-doctoral scholar position in computational biology is available at the Sean N. Parker Center for Allergy and Asthma Research at Stanford University (https://med.stanford.edu/allergyandasthma/research.html). Our main goal is to study and develop novel approaches for the prevention, early detection, diagnosis, and treatment of allergies, asthma and other atopic diseases.

We are seeking a highly motivated computational scientist to extend our team of medical, immunological and bioinformatical researchers. We generate and have access to clinical and immunological data as well as many large data sets, including mass cytometry (CyTOF) and single cell sequencing data. The successful candidate will perform computational research using these large single cell data sets in the context of food allergy and other atopic diseases.

Ideal candidates will have a mixture of the following skills:

  • Ph.D. in bioinformatics, computational biology, biostatistics, or similar (preferably obtained no more than 1 year ago).
  • Programming experience is required (preferably in R or python).
  • Experience in single cell data analyses and integrative multi-omics approaches is a strong plus.
  • Proven track record in problem-solving skills and creative thinking.
  • A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects.
  • Applicants must possess good communication skills and be fluent in both spoken and written English.

To apply, please send your CV, a brief statement of research interests, and contact information for three references in one PDF document to sandorf@stanford.edu

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

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