Opportunity: Research scientist in Computational Systems Biology at CRS4--Italy

Enrico Capobianco • July 30, 2007
Opportunity: Research scientist in Computational Systems Biology at CRS4--Italy
BACKGROUND
In-depth understanding analysis and processing of data from various post-genomic technologies and their application towards classification, clustering, machine learning, predictive modelling

Expertise in methods and technologies utilized for integrative analysis of biosciences and clinical data, such as ontologies, data exchange standards, etc.

Expertise in heterogeneous data-mining /visualization methods and modeling /simulation techniques relevant to biomarker platforms

Wide understanding of commercially available bioinformatics/clinical genomics tools and databases.

Proficiency in one or more mainstream programming languages (C, C++, C#/.NET, Java, Perl, etc.) is needed, together with understanding of relational database design and SQL/DBMS systems (e.g. MySQL, Oracle).

Matlab, R, Octave, Scilab and other scientific/computational packages required.

Excellent communication and collaborative skills and excellent written and oral communication skills.
Ability to be flexible in working hours and willingness to travel are a requirement.

RESPONSIBILITIES
Work in projects involving experimental data (also in collaboration with other labs and Institutes) but also work
with DB tools to retrieve and build reference datasets.
Work closely with Informatics and Software Engineering and communicate across domains with biologists and chemists.
REQUIREMENTS
Application Areas: genomics, interactomics, proteomics

Tasks by domain:
A. Microarray. Development of statistical/machine learning methods for analysis of microarray data, including SNPs and CGH.
Both data analysis (pre-processing, mining and modelling), method design and algorithm development+implementation are key aspects.

B. Networks. Development of statistical/machine learning methods for analysis of biological network data,
in particular Protein Interaction Networks for which we plan to study:

- integration with other relevant "omic" data.

- probabilistic characterizations of interactomes

- application of inference techniques

C. Noncoding. Development of computational methods to identify miRNA (and other interference-related classes)
in the human genome and study of relationships with their targets (to understand, for instance,
the role played in the development of cancer).

D. Biomarkers. We are currently setting up collaboration with international groups to study discovery, analysis and validation
aspects of biomarkers in relation to various cancers and cancer subtypes.
PREFERENCES
Junior/Senior level, preferably with PhD in computational biology or bioinformatics, profiles from other computational fields (math, physics, stat, CS) will be evaluated too.

TERMS:
not permanent position
start date: fall 2007 - runs throughout 2008
renewable

COMPENSATION:
Variable, depends on degree and/or academic/work experience

HOW TO APPLY:
send CV and cover to enrico.capobianco"AT"libero.it
http://www.bioinformatica.crs4.org
Please state ref. CSB in subject text

DEADLINE: September 2007

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BACKGROUND

RESPONSIBILITIES

REQUIREMENTS

PREFERENCES

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