Bioinformatics Analyst, Innovation Center for Biomedical Informatics - Georgetown University Medica
Bioinformatics Analyst, Innovation Center for Biomedical Informatics - Georgetown University Medical Center
Georgetown University's Innovation Center for Biomedical Informatics (ICBI) was launched in 2012 as an academic hub for innovative research in the field of biomedical informatics - a specialization of bioinformatics - with the goal of enabling more individualized approaches to health care based on patient genetics. ICBI's mission is to enhance translational research at Georgetown University Medical Center and, in turn, attract and educate the next generation of scientists and physicians for which biomedical informatics will be an integral part of both biomedical research and clinical practice.
The Bioinformatics Analyst supports the Center's analytical and data management, under the supervision of ICBI faculty and other senior managers, .in duties that include but are not limited to:
- Interfaces with ICBI staff to support, maintain, and use his/her bioinformatics expertise to conduct data management, analysis, and quality control flows for the Georgetown Database of Cancer (GDOC) project and other projects/databases using shell scripting, R programming, and other programming languages as appropriate.
- Meets timelines and quality expectations on data processing and data analysis -related deliverables for multiple projects.
- Validates and performs computational analysis of molecular profiling data in conjunction with clinical data.
- Assists in the implementation and management of established data processing and analysis flows, including expression data normalization, exploratory statistical analysis, pattern recognition and machine learning algorithms.
- Supports ICBI for analytical and data management purposes as well as for reuse of bioinformatics/ statistical tools and resources that are already available for other large scale informatics projects at ICBI.
- MS in Bioinformatics, Biomedical Engineering, or Science
- 4+ years of bioinformatics and programming graduate level experience
- Knowledge of bioinformatics methods and tools, including strong working knowledge of R (Bioconductor), as well as working knowledge of and formal (documented) training in data mining and systems biology software tools - for example, Bayesian Lab, Pathway Studio, and Ingenuity Pathway and Variant Analysis
- Working knowledge and formal training in scripting and managing data analysis pipelines in cloud computing environment with focus on batch processing and analysis large datasets of NGS data in AWS, Galaxy, Globus Genomics and Cancer Cloud platforms
- Ability and experience in technical writing, and scientific presentations with track record of peer reviewed publications (with at least one as a first author), and seminar and conference presentations
- Ability to be proactive and function well in a collegial and collaborative setting
- Ability to navigate complex high throughput data domains in the GDOC project (especially microRNA/ gene/ protein/ metabolite expression), as well as Next Generation Sequencing data, including whole genome, whole exome and RNA sequencing
- Ability to write and execute code to extract relevant subsets of expression data and to analyze these datasets in context of clinical disease specific information
- Desire to learn in an exciting environment
Position is located in Washington, D.C.
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