Job Summary
The Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is seeking a highly motivated and independent Bioinformatician-Computational Biologist-Lead to join the Liu lab at the forefront of biomedical AI and knowledge engineering. The Bioinformatician-Computational Biologist-Lead will contribute to three major projects.
- Constructing a structured biomedical literature knowledge graph (KG) from large-scale PubMed literature that allows seamless connection with external biomedical databases.
- Developing an AI platform based on the knowledge graphs from the Liu Lab that are built for genetic variants and their associated medical phenotypes.
- Leading a team of graduate students and developing a multimodal AI platform for analyzing and interpreting medical and clinical data.
This position offers a unique opportunity to work at the intersection of natural language processing, knowledge graphs, multimodal AI, and translational clinical research. The candidate will work closely with faculty, staff scientists, and trainees across multiple institutes and departments, contributing to high-impact publications, software tools, and collaborative grant proposals.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Responsibilities*
- Design, implement and maintain scalable computational pipelines for biomedical entity extraction, ontology mapping, and KG construction.
- Collaborate with collaborators on KG standardization and integration.
- Develop machine learning models and interpretability tools using multimodal knowledge graph data.
- Contribute to manuscript preparation and conference presentations.
- Mentor junior trainees and contribute to collaborative lab environment.
- Lead a team of graduate students and developing a multimodal AI platform and collaborate with investigators from other institutes.
Required Qualifications*
Minimum of a Bachelor degree in a recognized field of science or learning which is directly related to the duties of the position.
Desired Qualifications*
The applicant should have (or be near completion of) a Ph.D. in a computational or biological field and a track record of published research commensurate with their field. The applicant should have strong computational skills and proficiency in programming (ideally C/C++, Java, perl, python, or R). The successful candidate will have excellent organization and communication skills, collaborative spirit and strong personal motivation. Evidence of scholarly productivity in the form of journal articles, conference proceedings, and/or conference presentations is mandatory. English language proficiency is required.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
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.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.