Job Description: Quantitative Systems Biologist - Call for Expression of Interest

 

Location: Pisa (Italy)

Institute: Laboratory for Integrative Systems Medicine of CNR (IIT+IFC)

Area Ricerca San Cataldo

Via Moruzzi 1

Pisa, 56124

Job place: LISM – Laboratory for Integrative Systems Medicine. LISM is a joint laboratory of CNR-IIT and CNR-IFC.

 

 

Profile:

Quantitative Systems Biologist - PreDoc or Postdoc level

 

Organization Role:

CNR researcher "Assegno di Ricerca" (Junior/Senior). Junior or senior candidates can apply.

 

Within the 3 year project "The isolation and validation of miRNA/mRNA complexes to identify genes

and pathways targeted by tumour suppressor miRNAs in prostate cancer cells" funded by the Istituto Toscano Tumori, we

forecast the opening of one position of "Assegnista di ricerca" in early 2013.

 

If you communicate fluently in English too and want to work in an international research context,

please let us know your interest. All your research experiences need to be documented (i.e. for research abroad, please show evidences of titles,

 

Initial contract length: yearly contract up subject to possible renewal for the duration of the funding from Istituto Toscano Tumori

which is subject to annual approval, up to 3 years in total.

 

After evaluation of applications and interviews (meetings can also occur via skype),

the selected candidates will be requested to apply to a publicly open "Concorso" in Pisa.

The candidate's application material will be evaluated and scored, and an oral presentation will follow

(about your projects, your thesis, etc) with discussion.

 

Gross annual salary in in the range of 19,400 - 26,000 Euro/year depending on qualifications,

with yearly gross increases of about 2000 Euro. The applicable tax rate is 9,24%.

 

Qualification REQUIRED SKILLS:

 

Quantitative background from one (or more) of the fields listed below:

 

1. Computational Biology

2. Bioinformatics

3. Applied Mathematical Modelling,

4. Computational Physics,

5. Computer Science/Informatics/Medical Informatics

6. Engineering

7. Machine Learning,

8. Signal Processing,

9. Statistics.

10. Optimization/Graphs/Image Analysis

11. Biomedical engineering,

 

Important!

 

Clear demonstration of experience in analysis and modelling of biomedical and clinical data must be provided.

 

Special skills (highly desired):

 

1. Experience in graphs/networks (design, inference, annotation).

2. In-depth understanding and implementation of methods and development of

algorithms for statistical and machine learning classification, clustering, predictive

modelling.

3. Target application domains especially address omic AND clinical data analysis, in

particular gene regulatory networks, protein interactomes, development of diagnostic tools, Next Generation Sequencing, bio-image processing.

 

Candidates with programming/scripting experience are preferred.

In particular, proficiency in one or more mainstream programming languages (C, C++,

Java, Python, Perl, etc.), together with the understanding of relational database design

and SQL/DBMS systems (e.g. MySQL, PHP, Oracle).

 

Desired technical characteristics:

- Expertise in methods and technologies involving Database and Datawarehouse

resources utilized for integrative analysis of omics and clinical data.

- Experience with ontologies, data exchange standards, data mining, etc.

- Expertise in visualization methods (ex. Cytoscape) for use with bio-platforms.

- Building computational Pipelines,

- Implementing Software tools, Data fusion, mining and assimilation,

- Biological annotation.

 

How to Apply Interested candidates should send:

1. CV

2. two-page (max) list of research topics (i.e. ongoing projects)

3. earliest availability

4. contact names

 

to the following email address: marco.pellegrini@iit.cnr.it