- From: Kei-Hoi Cheung <kei.cheung@yale.edu>
- Date: Mon, 6 Jul 2015 08:00:44 -0400
- To: "'w3c semweb HCLS'" <public-semweb-lifesci@w3.org>
- Cc: "'Kleinstein, Steven'" <steven.kleinstein@yale.edu>
Yale University School of Medicine, Department of Pathology is seeking a highly motivated postdoctoral associate to work as part of a collaborative project with the Center for Data Annotation and Retrieval (CEDAR, http://med.stanford.edu/cedar.html). CEDAR is an NIH BD2K Center of Excellence whose goal is to create a unified framework that researchers in all scientific disciplines can use to create consistent, easily searchable metadata. The successful candidate will join the Kleinstein and Cheung labs at Yale, and collaborate closely with CEDAR, the Human Immunology Project Consortium (HIPC) and the NIAID ImmPort team to address problems related to the annotation and standardization of "Big Data" being generated in the field of immunology. Big Data offers tremendous opportunities for scientific researchers. However, these data are not usable until they can be "explained" (or annotated) in a way that both humans and computers can process. The proposed project will involve research to develop information technologies to make the authoring of complete metadata and data more manageable, and to facilitate the use of metadata in the integration and analysis of Big Data sets in immunology. The ideal candidate will have a working knowledge of ontologies and data standards, strong quantitative and programming abilities, along with a demonstrated interest in applying these skills to problems in biology. Knowledge of immunological experimental methods, as well as experience with databases and web services would also be considered strong positives. Interested candidates should forward a CV and short description of research interests together with the names and addresses of three references to: steven.kleinstein@yale.edu -or- Steven Kleinstein, Ph.D. Departments of Pathology and Immunobiology Yale University School of Medicine 300 George Street, Suite 505 New Haven, CT 06511-6663 Review of applications will begin on June 1, 2015. Yale University is an equal opportunity affirmative action employer. Minority and female applicants are encouraged to apply.
Received on Monday, 6 July 2015 12:01:15 UTC