Over the last decade, major advances in biology coupled with innovations in information technology have led to an explosive growth of biological and biomedical information. From the genomic revolution and many of its manifestations to recent development in high-throughput screening, institutions have never before been exposed to data that are so rich and comprehensive, and yet so massive and complex.
The fast growing field of biomedical informatics offers potential solutions to the “big data” problem. At the intersection of biology, medicine, statistics, computer science and information technology, biomedical informatics involves the development and application of computational tools to the organization and understanding of biomedical information, so that new insight and knowledge can be discovered. Biomedical informatics is now an integral component of all biomedical research.
The Inova Translational Medicine Institute (ITMI) is a not-for-profit 501(c)(3) research institute established February 2011 by the Inova Health System (IHS). The IHS is comprised of 5 community hospitals plus a variety of component outpatient and specialty clinics in Northern Virginia. It is the largest provider of health care services in the DC metropolitan area with approximately 22,000 births and 2 million patient visits per year. Its hospitals provide a full range of clinical services to the community and metropolitan region. ITMI has access to the clinical services of the hospital to support research projects. ITMI is Inova’s visionary initiative to bring personalized medicine to Northern Virginia and the world. It is leading the transformation of healthcare from a reactive to a predictive model using technological innovation, pioneering research and sophisticated information management. ITMI has compiled one of the world’s largest genomic datasets; petabytes of data continue to be generated.
As a member of the IMTI bioinformatics team, you will be part of a team that (a) uses leading edge biomedical technology resulting in massive amounts of data, (b) interface with some of the brightest scientific minds and (c) help develop a technology pipeline of scientific data, applications and interfaces to forward translational research that is novel in it’s approach and implementation. You will work with the clinical staff to define requirements for clinical data and to evaluate clinical data from research participants. You will be part of a multi-institutional analysis team for genomic studies that includes both in-house analysis capability at Inova and external expertise. This team of bioinformatic scientists has the ability to perform quality control checks on whole genome sequence data as well as the expertise to maintain and analyze whole genome sequence data in a cloud environment. Specific expertise includes - Clinical Data Analysis, database structure, data formatting, DNA sequence QA/QC, Variant Analysis, Pathway Analysis, Multi-platform Data Integration, Principle Component Analysis, Large-Scale Systems Biology, Random Forest Analysis, Unsupervised Analyses and Clinical Interpretation of Genomic Data.