Faculty - Department of Biomedical Informatics, Pelotonia Institute for Immuno-Oncology (Assistant Professor/Tenure track)

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Job Title:

Faculty - Department of Biomedical Informatics, Pelotonia Institute for Immuno-Oncology (Assistant Professor/Tenure track)

Department:

Medicine | School Biomed Sci - Biomedical Informatics

Tenure faculty (regardless of rank) - persons with the titles of professor, associate professor, assistant professor and instructor who serve on appointments totaling 50% or more service to the university and who are eligible for tenure or who have obtained tenure. Duties and responsibilities are assigned in accordance with the workload guidelines laid out in the pattern of administration of each faculty member’s tenure initiation unit (TIU) and, as appropriate, regional campus; obligations will include research, service and/or teaching or clinical practice.  These faculty will have earned doctorate or other terminal degree in the relevant field of study or possession of equivalent experience.

Division of Bioinformatics and Computational Biology (DBCB, https://medicine.osu.edu/departments/biomedical-informatics/divisions/division-of-bioinformatics-and-computational-biology-division-bcbs) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu) and The Pelotonia Institute for Immuno-Oncology (PIIO, https://cancer.osu.edu/piio) at The Ohio State University (OSU) are currently seeking applicants for a tenure-track assistant professor position in bioinformatics and immuno-informatics.

Position Overview

The Department of BMI and the PIIO seek applicants for a full-time tenure-track Assistant Professor level faculty position specializing in bioinformatics and immuno informatics for cancer research. The recruited faculty member will join a highly collaborative community of more than 30 investigators in BMI working in a wide variety of sub-domains including bioinformatics, biostatistics, AI/ML in digital health, clinical informatics, and implementation science. Scientific collaborations and research interests in the following areas are highly desired:

• Advancement of single-cell and spatial multi-omics methods and computational/bioinformatics tools, including AI and ML-based tools
• Discovery of underlying gene regulatory mechanisms and cell heterogeneity in tumor microenvironment across sex and/or species
• Integration of phenotypic data with that from complementary sequencing methodologies including genomics, transcriptomics, proteomics, and metabolomics.

Duties and Responsibilities