Bioinformatician

Georgetown University

34d•$44,022 - $73,407•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 of metabolomics studies and the analysis of associated data. The successful candidate will provide bioinformatics support for analytical design across various metabolomics studies, including molecular profiling and targeted quantitation using multiple reaction monitoring. Additionally, the position will contribute to developing pipelines for metabolic model development, modeling, and stoichiometric analysis of metabolic flux. The role involves collaborating with wet-lab scientists to design experiments and integrate diverse experimental data, such as transcriptomics, proteomics, metabolomics (including stable isotope-based in vitro and in vivo metabolomics), and mass spectrometry-based profiling. This new position is crucial for enhancing the big data analysis capabilities to support multiple federally funded projects within the MSR. The expansion of duties and the need for qualified candidates necessitate a revision of the current pay scale to ensure competitiveness.

Requirements

MS in bioinformatics or biostatistics or computational biology or similar ((PhD preferred).
Experience in integrating multi-dimensional omics data.
Good programming skills (e.g. Java, C++, perl), experience with R/BioConductor.
Demonstrated track-record of supporting omics-based 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

Operate and assist with all mass spectrometry related operations including but not limited to sample preparation and data acquisition.
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.
Perform advanced bioinformatic and statistical analyses of metabolomics datasets based on client’s defined goals and presentation needs.
Follow-up with core facility clients, including graphical presentation refinement, additional analyses, and input into future experiment design.
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.