Bioinformatician Staff Scientist

Georgetown University

10d•$47,586 - $87,558•Onsite

About The Position

The Metabolomics Shared Resource (MSR) at Georgetown University Medical Center is seeking a Bioinformatics Scientist to join a highly collaborative team. This role will focus on the experimental design and data analysis of metabolomics studies, specifically supporting the pre and post-processing of LC-MS data. The successful candidate will provide bioinformatics support for analytical design in areas such as molecular profiling and targeted quantitation. Additionally, they will assist in developing pipelines for metabolic model development, modeling, and stoichiometric analysis of metabolic flux. The role involves designing experiments in collaboration with wet-lab scientists and integrating diverse experimental data, including transcriptomics, proteomics, metabolomics, and mass spectrometry-based profiling. There is an urgent need for a full-time bioinformatician to perform quality control, data integrity checks, batch corrections, and data normalization before data is handed over to Principal Investigators or uploaded to repositories. This position is crucial for supporting the big data analysis capabilities required for multiple federally funded projects.

Requirements

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

Nice To Haves

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

Responsibilities

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.