| The Lister Hill National Center for Biomedical Communications (LHC), a research and development component of the National Library of Medicine (NLM), is inviting applications for Clinical Data Science researchers with experience in the development and use of statistical and computer science techniques for extracting answers to important clinical questions from large clinical/administrative/research databases. Our interdisciplinary program is designed to develop advanced health information resources and software tools that are widely used in biomedical research and by health IT professionals, health care providers, and consumers. Successful candidates will serve on a non-competitive appointment in the excepted service. The June 2015 NIH Advisory Committee to the Director (ACD) report from the NLM Working Group recognized the important role of the NLM in the support and spread of electronic health record (EHR) systems, very large clinical data bases (billions of results) and the standards that underpin them. This position will focus on a few of the goals of the ACD report including: “an increasing commitment to the use of ‘big data’, and under recommendation 3b) “Promulgate…the application of novel computational and statistical methods to extract knowledge from digital health sources.” |
There are many obvious uses for very large clinical databases, such as (but not limited to) comparative effectiveness research, and discovery of unexpected benefits and harms of the treatment from medications, devices and procedures. We are looking for researchers with MD or equivalent degrees, significant research experience with analyzing clinical databases, and with the development and implementation of better methods for analyzing them.
The Lister Hill Center (LHC) includes PhD and MD researchers from fields ranging from computer science to natural language processing, bio-statistics, and image processing. And a larger community of such researches exist on the NIH campus. Between LHC and the NIH, LHC researchers have access to robust computer resources including super computers. LHC also has access to, and experience with, a number of large clinical data bases, including CMS’s de-identified Medicare and Medicaid databases through the Virtual Research Data Center (VRDC) and with the MIMIC II database which includes fairly complete de-identified, medical record content from more than 60,000 intensive care visits, as wells as with Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey"). In addition we run a clinical informatics fellowship program.