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Open Postdoctoral position, faculty mentor Shirit Einav

Important Info

Faculty Sponsor (Last, First Name): 
Einav, Shirit
Stanford Departments and Centers: 
Med: Infectious Diseases
Postdoc Appointment Term: 
2-5 years
Appointment Start Date: 
between now and Sept 2022
How to Submit Application Materials: 

Contact the PI at seinav@stanford.edu

The Einav Lab at Stanford University School of Medicine invites applications for highly creative and motivated Postdoctoral Fellows with background in Bioinformatics and ideally Systems Immunology.
 
The Einav Lab has positions for postdoctoral scholars interested in understanding the pathogenesis of emerging viral infections in humans and discovering novel biomarkers and drug targets via an integrated systems immunology approach. Trainees will be co-mentored by Shirit Einav (Stanford University and Chan Zuckerberg Biohub) and Fabio Zanini (University of New South Wales).

Required Qualifications: 

Applicants must have solid coding skills (preferably in Python) and interest in data science, machine learning, or software engineering for biomedicine.
Ideal candidates should also have one or more of the following: 
• A solid understanding of linear algebra and quantitative data analysis.
• A genuine passion to explore complex, information-rich biomedical data.
• Previous experience with Systems Immunology: single cell omics, flow, CyTOF, or proteomics/metabolomics.
• Previous experience with sequence evolution (e.g. viruses, immune repertoires, transposons).
• Phenomenological mathematical modelling.
(Strong inclination towards rigorous statistics is not required.)
 

Required Application Materials: 
  • Curriculum Vitae
  • Contact information for three referees
  • A short statement describing the candidate’s training and future goals
  • Please include a link to your GitHub/gitlab/bitbucket profile showcasing a few projects you have coded up yourself

 

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.