Postdoctoral Position at U936
Interoperability of biomedical and bioinformatics data Profile
The U936 is looking for a postdoctoral fellow interested on interoperability of biomedical and bioinformatics data.
The candidate should have a strong expertise in ontologies and reasoning and be proficient with Semantic Web technologies (from RDF-SPARQL to OWL-DL and SWRL). A working knowledge of the data elements in patients' Electronic Health Records (EHR) is an advantage but is not mandatory. The work will be part of an international effort and will be carried out in English.
Within the U936, the postdoctoral fellow will participate to following
projects:
* ASTEC (Automatic Selection of clinical Trials based on Eligibility
Criteria) is funded by the French ANR-TECSAN organization.
It aims to increase the rate of patient inclusion in oncologic clinical
trials by automatically proposing a list of clinical trials for a patient
suffering from prostate cancer.
* TRANSFoRm is funded by the ICT initiative from the European
Commission. It aims to develop rigorous and generic methods for the
integration of Primary Care clinical and research activities in order to
support patient safety and clinical research. The project is based on rich capture of clinical data, including symptoms and signs rather than just a single diagnosis, as well as distributed interoperability of EHR data and other data sources enabling large-scale phenotype-genotype association studies and follow up of trials
* EHR4CR (Electronic Health Records for Clinical Research) is funded
by the IMI initiative from the European Commission. It aims to design and demonstrate a scalable and cost-effective approach to interoperability between Electronic Health Record systems (EHRs) and Clinical Research through multiple but unified initiatives across different therapeutic areas (see
http://www.ehr4cr.eu/)
The position is available as march 2011 and funding is secured until October 2013.
The net monthly salary will be around 2200 € and can be
negociated according to the candidate's experience.
The position will be located at the U936, at Rennes1 University, Rennes, France.
Application :
Please send an application letter, a curriculum, a list of scientific publications and letters of support to Marc Cuggia (
[email protected]) and Olivier Dameron (
[email protected])
