意大利撒丁岛计算系统生物学访问学者
InstitutionCRS4 (Centro di Ricerca Sviluppo e Studi Superiori in Sardegna) (http://www.bioinformatica.crs...)PositionResearch Scientist - Computational Systems BiologistLocationPula (Cagliari) - Sardi ...
Institution
CRS4 (Centro di Ricerca Sviluppo e Studi Superiori in Sardegna) (http://www.bioinformatica.crs...)
Position
Research Scientist - Computational Systems Biologist
Location
Pula (Cagliari) - Sardinia (ITALY)
Date Posted
Dec 11th 2007
Description
Junior/Senior level, Master/PhD in computational biology or bioinformatics;
profiles from any other computational field (math, physics, stat, CS)will be seriously evaluated too.
Application Areas: genomics, interactomics, proteomics, genotyping
Domains & Tasks
A. Microarray.
Development of statistical/machine learning methods for analysis ofmicroarray data.
Data pre-processing, mining and modelling are key aspects.
Biological knowledge is also of relevance, particularly sources of geneand protein validation (annotation, enrichment etc.).
B. Genotyping.
Experimental data are going to be analyzed and evaluated, involvingSNPs, CNV and CGH.
Therefore, experience with genotyping applications, such as whole genomescans, or statistical genetics, disease-oriented or method-oriented, is welcome
C. Interactomics.
Development of statistical/machine learning methods for analysis ofbiological network data, in particular Protein Interaction Networks forwhich we plan to study:
—integration with other relevant “omic” data.
—probabilistic characterizations of interactomes
—application of inference techniques
D. Noncoding.
Development of computational methods to identify miRNA (and otherinterference-related classes such as RNAi, siRNA, etc.) in the humangenome and study of relationships with their targets (to understand, forinstance, the role played in the development of cancer).
E. Biomarkers.
We have collaborations with international groups and industrial partnersto study discovery, analysis and validation aspects of biomarkers inrelation to various cancers and cancer subtypes, and other pathologies.
Responsibilities.
The person will be involved in research activities at various degree.
Work in projects involving experimental data (also in collaboration withother labs and Institutes).
Work with DB tools to retrieve and build reference datasets.
These activities are integrated, and thus supported, within group andlab activities.
Requirements.
The following are particularly desired characteristics:
In-depth understanding analysis and processing of data from variouspost-genomic technologies and their application towards classification,clustering, machine learning, predictive modelling
Expertise in methods and technologies utilized for integrative analysisof biosciences and clinical data, such as ontologies, data exchangestandards, etc.
Expertise in heterogeneous data-mining /visualization methods andmodeling /simulation techniques relevant to biomarker platforms
Wide understanding of commercially available bioinformatics/clinicalgenomics tools and databases.
Proficiency in one or more mainstream programming languages (C, C++,Java, Perl, etc.) is needed, together with understanding of relationaldatabase design and SQL/DBMS systems (e.g. MySQL, Oracle).
Matlab, R, Octave, Scilab and other scientific/computational packages.
Excellent communication and collaborative skills and excellent writtenand oral communication skills.
Ability to be flexible in working hours and willingness to travel.
Terms: not a permanent position, it starts asap in 2008, then runsthroughout 2008 (renewable at the end of the year).
Salary varies depending on academic/work experience
Contact
send cv cover references (contacts or letters) to
ecapob_AT_crs4.it
www.bioinformatica.crs4.org
Deadline: 20 Jan 2008