PostDoc
IAPA Project
Infrastructure to Access, Share and Analyse Biomedical Data
Context:
The IAPA project is funded by the Paul Sabatier University and includes the ICR (Institut Claudius Regaud, Hospital and Research Centre Institute against Cancer) as a partner. This project aims at building up a software and hardware infrastructure to allow for the cross-correlation of biomedical data coming from very diverse sources. The objective is to head for an infrastructure that will allow the synthesis and the cross-analysis of patient data in order to discover new diagnoses, therapies and treatments against cancer.
Context of the work:
Medical data are from very different nature, coming from heterogeneous sources distributed among the territories. An integrated medical system, able to find all the possible data for one patient, does still not exist. Many obstacles slowed the process: political, ethical, financial and informatics problems. This latter dimension of the problem is at the heart of the project. Available data are nowadays numerous, heterogeneous, multimodal, time stamped, structured and unstructured, ...:
- administrative information about the patients (age, gender, address, ...)
- clinical analysis (blood test, glucose and cholesterol rate, ...)
- regulations and results of therapies
- images from different nature (PET, MRI, X-Ray)
- gene expressions
To sum up the state of medical information, one can see the following: The medical practice generates more and more diverse information (text, images, video, tables, ...), structured or not, raw data or data coming from a analysis process, stored or not in specialized data centres. The combination of these data proves however very useful in various fields of exercise of medicine (research, learning). Paradoxically, while the potentially useful data do not cease growing in quantity as in quality, it becomes increasingly difficult, even impossible to control and access them as a whole.
PostDoc subject:
The PostDoc to be recruited will have to work on ONE of the following subjects in the IAPA project:
- medical data modeling and representation, ontologies
- datawarehousing
- datamining
- medical image processing
- grid workflow management
Scientific Background:
- PhD in Computer Science
- Working experience in the field of Medical Informatics, being familiar with medical terminologies is a plus.
- Fluency in English. French is a plus.
Duration and Salary:
- 18 months
- 2100 euros / months, gross salary
Conditions to apply:
This position is opened to foreign applicants ONLY. The conditions are thus:
- Not being a French citizen
- Not being more than 35 years old
- Not having completed a PhD in France
- Not being employed in a Research centre in France
- Apply until June 20th, 2008.
Contact :
jean-marc.pierson@irit.fr, mohand.boughanem@irit.fr