The UCSF Benioff Center for Microbiome Medicine is seeking professionals to help conduct cutting-edge mass-spectrometry based metabolomics research. You will work in a world-class team to discover small molecules and metabolic pathways important for human health. You will have the opportunity to lead high quality data acquisition and analysis in a state-of-the-art metabolomics research laboratory.
● Prepare metabolite samples, standard solutions, and mobile phase buffers for HPLC, LCMS, GCMS analysis.
● Perform organic extractions of metabolites from biological samples (human, murine)
● Assist with operation and maintenance of HPLC, GCMS and LCMS instruments.
● Assist with LCMS and GCMS method development for small molecule and lipid detection.
● Implement changes in methods and train lab personnel on new methodologies.
● Maintain a comprehensive laboratory notebook of experiments done on a daily basis.
● Prepare and update SOPs.
● Order supplies and maintain detailed account of expenditures in line with lab budget.
● Maintain and curate in-house metabolite database and spectral library.
● Analyze targeted and untargeted metabolomics datasets.
● Report data for scientific use with the potential to contribute to scientific publications.
● Interact with vendors to investigate novel supplies and technology.
● Bachelor’s or Master’s degree in chemistry, analytical chemistry, biochemistry, organic chemistry, or related field.
● Experience working in a research lab setting (1-2 years).
● Experience with liquid and solid phase extractions of small molecules and lipids.
● Experience operating HPLC, GCMS and LCMS instruments.
● Experience analyzing mass spectrometry data - including high resolution, accurate mass and tandem mass spectrometry data.
● Familiarity with basic metabolomics pipeline including sample preparation, LC-MS operation, and data analysis.
● Experience with small-molecule extractions from biological samples (e.g. human, murine, plant tissues).
● Experience with derivatization reactions for GC-MS (e.g. methylation, silylation reactions)
● Experience using R, Python, or other programing languages to analyze data.
● Experience using various metabolite libraries (e.g. METLIN, mzCloud), Sirius or other AI software to identify unknown metabolites.
● Experience publishing or presenting experimental results.
● Please submit a cover letter, resume, and contact information for two references to https://aprecruit.ucsf.edu/JPF03899.