Postdoc Fellow

University of Missouri-Columbia
Department of Electrical Engineering & Computer Science, College of Engineering; Department of Molecular Microbiology and Immunology, School of Medicine
United States Missouri Columbia


The Wan lab at the Bond Life Sciences Center is seeking Multiple Postdoc positions in the areas of Computational Biology at the Influenza Systems Biology Laboratory, which is affiliated across Department of Molecular Microbiology and Immunology, School of Medicine, Department of Electrical Engineering and Computer Science, College of Engineering, Department of Veterinary Pathobiology, College of Veterinary Medicine, and MU Institute for Data Science and Informatics at University of Missouri (MU). The lab is physically located at MU Bond Life Sciences Center ( for emerging and re-emerging infectious diseases, especially influenza viruses, by developing and applying integrated, multi-scale, and evidence-based approaches that combining laboratory, clinical and computational methods.

The responsibilities of the position are 1) to develop and apply computational algorithms and tools to predict phenotypes (e.g. antigenicity, replication ability, receptor binding preference, transmission risks, pathogenesis risks, and vaccine responses) of influenza viruses and other emerging pathogens (e.g. SARS-CoV-2) using omics data and laboratory generated phenotypic data, 2) to design novel and broadly protective influenza vaccine candidates, 3) to understand the molecular mechanisms of host-pathogen interactions using systems approaches, and/or 4) to study evolutionary pathways of influenza viruses and other emerging pathogens (e.g. SARS-CoV-2).

S/he will be expected to work closely with bench lab members to acquire phenotypic data and validate the computational findings.


This position requires a Ph.D. in Computer Science, Bioinformatics, Virology, Microbiology, Biological Sciences, Molecular Biology, Infectious Diseases, or a related field. US citizenship is not required. Basic programming skills are required. Prior experience in machine learning is preferred but not required. The position is funded for three years with the second and third year contingent upon success in the prior year.

Start date

As soon as possible

How to Apply

To view more details and apply for a position, please visit and select Academic Positions; Job ID 29347 (Postdoc in Computational Biology). Current employees will sign in to access their myHR account, if not an existing user, select the Prospective Employees link to create one.


Dr. Henry Wan

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