| More Information: | Title: Biomedical Text mining Position available (job / PhD / Post-doc
position announcement)
Several types of contracts could be offered in our research group,
including Post-doctoral, PhD or post-graduate positions.
Salaries will depend on the type of position, expertise and academic
formation. Working language is English.
Lab URL:
http://www.cnio.es/ing/grupos/plantillas/presentacion.asp?grupo=50004294
Publication record (Alfonso Valencia):
http://scholar.google.es/citations?user=4iB725QAAAAJ&hl=en
General description:
The candidate will work in a multidisciplinary team dealing with the
development and application of biomedical
text mining and natural language processing techniques. The overall aim
of this work is to develop and apply
text mining and natural language processing technologies to biomedical
literature, covering aspects related to
automatic text classification using machine learning methods, the
detection of entities of biological interest from
text and the extraction and ranking of biological relations from the
biomedical literature. A special focus will be
given to certain topics including: cancer-relevant gene detection and
relationship extraction.
Requirements:
(1) Applicants should have a solid formation in computational
linguistics, Natural Language Processing, text mining or
related areas.
(2) Ability to develop algorithms and software for needed by natural
language processing/text mining systems
(3) Programming skills are required, in at least one of the following
languages (Python, Perl, Java, C/C++, Ruby).
(4) Good English communication skills.
(5) Interest in the Biomedical field.
The expertise in the following points are a plus when applying for the
position:
- Formation on topics related to statistics and machine learning.
- Development of online web applications.
- Previous experience with biomedical texts.
- Ability to work in an interdisciplinary team.
- A good scientific publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition,
information extraction and information retrieval.
Background on our research group:
The position is available in the group of Dr. Alfonso Valencia, Director
of the Structural Biology and Biocomputing Programme
at the Spanish National Cancer Research Centre. The research group
contributed significantly to the biomedical text mining
research over the past years, from initial work related to the analysis
of protein families, microarray data and protein
interactions to the development of online applications such as the iHOP
server, PLAN2L or the BioCreative Metaserver.
The group collaborates with experimental biomedicine labs to integrate
NLP and text mining data with the results of
bioinformatics data. It has been co-organizing community evaluation
efforts in the BioNLP area, i.e. the BioCreative challenges.
Contact info: Requests for additional information or formal applications
(including application letters, extensive CV and PhD/MA thesis
description) can be sent to Martin Krallinger:mkrallinger@cnio.es
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