Position overview Position title: Assistant Professor Salary range: $80,800 to $104,700 base Anticipated start: July 01, 2026 Review timeline: December 08, 2025 Application Window Open date: October 13, 2025 Most recent review date: Monday, Dec 8, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday,
Jun 30, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The University of California, Riverside (UCR) invites applications for a tenure-track Assistant Professor position in computational and/or analytical metabolomics, with research focused on
cellular and physiological adaptation, plant metabolism, or plant-microbe interactions. The anticipated start date for this position is July 1, 2026. This position is part of a strategic, campus-wide initiative to expand UCR’s research capacity in metabolomics and systems biology. The successful candidate will join a department to be determined based on their expertise and alignment with research and teaching needs.
They will contribute to UCR’s dynamic growth in the evolution of secondary metabolic pathways, plant-derived medicinal and nutritional metabolites, and the interface between plant metabolism and human health. Candidates should develop innovative, interdisciplinary research programs in frontier areas such as microbiome–metabolome interactions, eco-metabolomics, quantitative metabolomic imaging, small molecule–proteome
interactions, and the integration of multi-omics datasets for biological discovery and prediction. Applicants must hold a Ph.D. in a relevant field by the time of application, with postdoctoral research experience strongly preferred. A demonstrated record of impactful scientific contributions, reflected in peer-reviewed publications, and the potential to secure extramural funding are essential. The successful
candidate is expected to establish an independent and externally funded research program and demonstrate expertise in either computational or analytical metabolomics. Computational metabolomics may include approaches such as pathway reconstruction, statistical modeling, machine learning, or predictive analytics of metabolite function. Analytical metabolomics may involve techniques such as LC-MS/MS, MS imaging, or
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