Job Description

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.

Requirements

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:

• 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 lipidomics. By using advanced mass spectrometry-based methodologies and well-established technologies, we are devoted to help researchers to answer questions in basic, translational and clinical biomedical research. The high speed, sensitivity, and accuracy of our instruments allow accurate qualitative and quantitative measurement of proteins/peptides. The most common experiments include: 1) hypothesis-driven discovery metabolomic studies of biological systems for the identification of small molecule metabolites as well as their quantification by incorporating various strategies), and 2) targeted metabolomics by multiple reaction monitoring mass spectrometry (MRM-MS); 3) Flux metabolomics for mechanistic understanding of metabolic alterations in health and disease. The core facility serves 45 investigators with a rich extramural funding portfolio (> $10 M). The metabolomics shared resource offers metabolomics services as a fee-for service arrangement which brings in a revenue of more than $1M/year to GUMC. This position will be supported by the Metabolomics shared resource.

Requirements and Qualifications

Essential:

• MS in bioinformatics and/or biostatistics or computational biology or similar ((PhD preferred).
• Experience in analyzing and integrating multi-dimensional omics data.
• MS from an accredited program in bioinformatics, biostatistics, or another closely related field.
• Experience with analyzing multi-dimensional omics data
• Experience with R/BioConductor
• Demonstrated track-record of supporting data science research
• Strong written and oral communication skills
• Ability to prioritize, multi-task in a fast-paced work environment
• Ability to work independently in a team-based environment

Desirable:

• Metabolic modelling and flux analysis for mammalian systems.
• Experience in building databases and bioinformatics pipelines.
• Wet-lab experience.

Work Mode Designation

This position has been designated as On-Campus. Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University. Such review may necessitate a change to a position’s mode of work designation. Complete details about Georgetown University’s mode of work designations for staff positions can be found on the Department of Human Resources website: https://hr.georgetown.edu/mode-of-work-designation.

Pay Range:

The projected salary or hourly pay range for this position which represents the full range of anticipated compensation is:

$47,586.00 - $87,558.13

Compensation is determined by a number of factors including, but not limited to, the candidate’s individual qualifications, experience, education, skills, and certifications, as well as the University’s business needs and external factors.

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EEO Statement:

GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.

Benefits

Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website.