Note: The job is a remote job and is open to candidates in USA. Georgetown University is an academic and research institution supporting biomedical research through its Metabolomics Shared Resource. The Staff Bioinformatician will support experimental design, LC-MS and GC-MS data processing, pipeline development, quality control, statistical analysis, and integration of metabolomics and other omics data.
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
Skills
- MS in bioinformatics and/or biostatistics or computational biology or similar
- 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
- PhD
- Metabolic modelling and flux analysis for mammalian systems
- Experience in building databases and bioinformatics pipelines
- Wet-lab experience
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Disability insurance
- Life insurance
- Retirement savings
- Tuition assistance
- Work-life balance benefits
- Employee discounts
- An array of voluntary insurance options
Company Overview
Company H1B Sponsorship