RESEARCH FELLOW

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Summary

We are looking for a postdoctoral fellow to work in the fields of in bioinformatics, biostatistics, machine learning, vaccine informatics, microbiology, immunology, and precision medicine.

Responsibilities*

Specifically, the candidate will be responsible for processing, integrating, and analyzing large amounts of heterogenous biomedical data, primarily in the fields of vaccinology, infectious diseases, and their related areas. The candidate will do research on an interdisciplinary project, which has the research goals of enhanced mechanistical understanding of the host-vaccine/pathogen interactions and translational vaccine design and prediction. The candidate has the option to choose different research methods such as machine learning, deep learning, natural language processing (NLP), and Omics data analysis. This is a collaborative project, so the candidate is required to work together with other team members in different universities.

This position is funded by a NIH-NIAID U24 grant (U24AI171008) that aims to develop and enhance an ontology-based integrative vaccine knowledgebase with advanced NLP or machine learning technologies, and apply such vaccine knowledgebase to address specific scientific use cases. 

Please provide a CV and a cover letter.

Required Qualifications*

Ph.D. degree in Bioinformatics, Biostatistics, Computer Science, Data Science, Microbiology, Immunology, or related field, or equivalent experience.

The ideal candidate should have a sound and proven data science background and excellent quantitative skills.

Demonstrate an understanding of both science and informatics.

Good communication skills.

Desired Qualifications*

Experience in vaccine research

Experience in ontology

Work Schedule

End Date: Three years

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.