As part of our efforts to address metal implant reactivity, we are conducting research aimed to identify the scope and occurrences of adverse outcomes to implantable/insertable devices. This project will incorporate epidemiological/clinical data from different sources including but not limited to registry data, medical records, genetic, genomic etc. We are looking for an enthusiastic ORISE candidate with conceptual knowledge in epidemiology and/or biomedical research as well as hands-on skills in statistics/ bioinformatics methods , database management (e.g., R, Python, SAS, MySQL, ACCESS, etc.) As a general requirement, ORISE fellowship can be granted to a candidate who is currently pursuing his/her degree or has received it <5 years ago. Selected candidates would begin in September 2020.
PhD received within or equal to 5 years
Please, email your CV with a list of 3 references and a brief cover letter describing your qualifications, areas of expertise, familiarity with statics, ontology/terminology enrichment methods, patient data acquisition and analyses, and/or 'omics' based data analyses.