ironquill.tech/board

$ cat jobs/research-associate-2-oak-ridge-associated-universit-b17693017d7e.json

Research Associate 2

oak ridge associated universities·US·United States·mid
Apply on himalayas → Get AI match score →
Overview APPOINTMENT TYPE: Temporary (Part-Time 20 hr./Week) LOCATION: Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review the job requirements outlined below very carefully and answer all screening questions when submitting your application for this position. There are some very specific, mandatory requirements candidates must complete to be considered for this opportunity. ADDITIONALLY: Applications MUST be submitted through the ORAU career page at to be considered. PURPOSE: The early career research associate will propose and conduct research under the guidance of a self-selected mentor, that leverages National Institute of Health (NIH) Common Fund datasets and resources to address complex biological questions. The research conducted will center on integrative analysis across multiple NIH Common Fund datasets with a focus on developing computational strategies that enable discovery across independently generated data resources. The early career research associate will contribute to the Common Fund Data Ecosystem (CFDE) community through dissemination of findings, development of reproducible workflows, and active engagement in collaborative initiatives offered through the CFDE community, supporting broader efforts to advance biomedical data integration and reuse. Often early career research associates encounter complex scientific and technical problems that require independent analysis, critical thinking, and consultation with a research mentor and collaborators. Problems are often novel and do not have established solutions. Example : Integrating heterogeneous datasets from multiple NIH Common Fund programs that differ in data formats, standards, metadata, and quality. These challenges are resolved by developing computational workflows, applying data harmonization techniques, and using appropriate statistical and bioinformatics methods. Responsibilities Conduct research with a focus on applying computational, bioinfo