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University of Missouri-Columbia

Post Doctoral Fellow - Computational Biology (Dr. Wan's Lab)

University of Missouri-Columbia, Columbia, Missouri, United States

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Post Doctoral Fellow - Computational Biology (Dr. Wan's Lab)

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Post Doctoral Fellow - Computational Biology (Dr. Wan's Lab)

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University of Missouri-Columbia Post Doctoral Fellow - Computational Biology (Dr. Wan's Lab)

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The Wan Lab at the Bond Life Sciences Center is seeking applications for a Post Doctoral Fellow in the area of Computational Biology at the Influenza Systems Biology Laboratory and the Center for Influenza and Emerging Infectious Diseases at the University of Missouri

Job Description

The Wan Lab at the Bond Life Sciences Center is seeking applications for a Post Doctoral Fellow in the area of Computational Biology at the Influenza Systems Biology Laboratory and the Center for Influenza and Emerging Infectious Diseases at the University of Missouri. Our lab is affiliated with the 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 Wan Lab currently holds more than $28 million in committed grant funding.

The lab is physically located at the MU Bond Life Sciences Center and focuses research on emerging and re-emerging infectious diseases, especially influenza viruses and SARS-COV-2, by developing and applying integrated, multi-scale, and evidence-based approaches that combine laboratory, clinical and computational methods. The lab has access to the regional BSL-3 and ABSL-3 biocontainment laboratory at the Laboratory for Infectious Diseases Research. This position will be responsible for performing various duties necessary to further research on multiple grants.

Responsibilities

Responsibilities will include developing genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts of immune responses on vaccine effectiveness, clinical outcomes, and transmission risks of virus infections, and/or studying evolutionary and transmission dynamics in individuals and populations.

The candidate will be responsible for recording all methods, results, and other relevant information in an organized manner as instructed by the Principal Investigator. The candidate will be expected to perform experiments, data analysis and manuscript preparation. The successful candidate should be highly motivated and is expected to work collaboratively within a team.

Shift: Regular hours, Monday-Friday with flexibility for weekend/evening hours as required for experiment needs.

Qualifications

Minimum Qualifications: Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, or a related field.

Candidates will be evaluated on: Previous experience with genomic analyses.

Application Materials

Please provide a cover letter, CV and contacts for three references.

Other Information

About Us

The Bond Life Sciences Center at the University of Missouri is a dynamic hub where groundbreaking research meets real-world impact. Designed to foster interdisciplinary collaboration, our state-of-the-art facility brings together experts in diverse fields—engineers, cancer biologists, plant scientists, and IT specialists—all working towards a common goal: to save lives, reduce costs, and enhance everyday life for Missourians and people around the globe.

Our Mission

We are committed to transforming scientific discoveries into actionable solutions. Our innovative research not only addresses pressing challenges in human and animal health, the environment, and agriculture, but it also translates into meaningful improvements in the lives of individuals everywhere. We also strive to share our findings with the public, ensuring that our discoveries resonate far beyond the lab in a language anyone can understand through our blog,

Decoding Science

,

events

for the public,

social media

and more.

Why Join Us?

At the Bond Life Sciences Center, you’ll be part of a vibrant community dedicated to making a difference. Our collaborative environment not only supports innovative research but also ensures that our discoveries lead to tangible benefits for society. Work in an award-winning facility designed for creativity and impact and contribute to a mission that truly changes lives.

Join us in our quest to advance science and improve lives, one discovery at a time!

Community Information

Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education and known as an ideal college town, its location also makes it an attractive spot for businesses and travelers. Located on Interstate 70 and U.S. Highway 63, Columbia is right in the middle of the state and the nation. Just a couple hours’ drive from St. Louis and Kansas City, Columbia is Boone County’s largest population center offering big-city culture, activities, and resources with a low cost of living. Columbia is home to a variety of restaurants and entertainment venues and hosts more than a dozen festivals each year. If you want to grow your career, continue your education, raise a family, and retire, Columbia is a good place to be!

Benefit Eligibility

This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.

Equal Employment Opportunity

The University of Missouri is an Equal Opportunity Employer.

To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278. Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

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