Bioinformatician Staff Scientist

Georgetown University comprises two unique campuses in the nation’s capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world.

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Job Overview

The Metabolomics Shared Resource (MSR) at Georgetown University Medical Center needs a Bioinformatics Scientist to work in a highly collaborative environment on experimental design of metabolomics studies and concomitant data analysis. This is a request for hiring a bioinformatics scientist to support pre and post processing of LC-MS data generated in the Metabolomics Shared Resource. Dr. Yoel Araujo Sanchez, previous occupant of this position was placed on administrative leave followed by termination effective September 04, 2026 owing to non-compliance (The termination letter is attached for reference). The incoming candidate will thus fill an existing position which is fully budgeted in the approved FY 27 MSR Budget. Specifically, the candidate will provide bioinformatics support for the analytical design for an array of metabolomics studies including molecular profiling, multiple reaction monitoring based targeted quantitation. The candidate will also assist in developing pipeline for metabolic model development, modelling, stoichiometric analysis of metabolic flux. Successful candidate will design experiments in collaboration with wet-lab scientists and integrate experimental data including transcriptomics, proteomics, metabolomics (including stable isotope based in vitro and in vivo metabolomics) and mass spectrometry-based profiling. Of note, the overall chargeback revenue target for MSR in FY27 has been set at $ 1M; towards this end, the Merabolomics Shared Resource has already recorded revenue of approximately $487,000 as of August 31, 2026. However, even as we generate data for these large consortium level projects; there is an urgent need for a full time bioinformatician for performing QC, data integrity checks, batch corrections, data normalizations and other associated pre and post processing before data can be handed over to Principal Investigators and/or uploaded to centralized data repositories.

Hence, this is a request for filling an existing vacant position to support big data analysis capabilities for multiple federally funded projects that are supported by the metabolomics shared resource. As explained in the justification, based on addition of new instruments including Bruker timsTOF, 7500 QTrap mass spectrometer, NMR and Seahorse XF96 cellular analyzer and the urgent and critical need to strengthen the informatics and data analysis capabilities of the core facility, we have expanded and added new set of duties to the revised job description. Taken together, these additions warrant a full-time position and commensurate salary for hiring qualified and competent candidates.

Responsibilities include but are not limited to:

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• Process raw LC-MS and GC-MS data using a well-defined analytical platform and deliver this in a format ready for further statistical analysis either by the collaborator or by the Metabolomics Core as appropriate.
  
• Streamline and develop bioinformatics pipelines for data pre and post-processing. This would include data integrity checks and batch normalization.
  
• Perform advanced statistical and bioinformatics analyses of high dimensional datasets including metabolomics and lipidomics datasets based on client’s defined goals and presentation needs.
  
• Follow-up with core facility clients, timely and organized data reporting including graphical presentation refinement, additional analyses, and input into future experiment design. Participate and contribute to user-meetings as needed.
  
• Develop and maintain an integrated, user-friendly analytical pipeline based around instrument manufacturers’ software and/or from publicly available resources, and/or de novo, for processing raw data (peak alignment, background subtraction, feature extraction, selection of statistically significant features).
  
• Keep track of key developments in the areas pertinent to this work and implement relevant knowledge/technologies for the advancement of the platform.
  

Work Interactions

The mission of MSR is to accelerate discovery by giving investigators access to cutting edge technologies in mass spectrometry-based metabolomics, proteomics and