Location: EBI - Hinxton, UK
Contract Duration: 3 years
Grading: 5
Closing date: August 7, 2011
Reference Number: EBI_00100 Link: www.embl.org/jobs
job offers
Job Description:
The research group of prof. Gianluigi Condorelli at National Research Council - University of Milano Bicocca is looking for one or more bioinformatician(s) with specific experience and/or interest in High Throughput data analysis.
The candidate(s) will be mainly in charge of the analysis of Next-Generation sequencing genome and transcriptome datasets for a range of applications and projects in the experimental labs (transcriptomics; mutation detection; ChiP Seq etc), but analyses of other datasets (such as microarray) will be part of the duties.
The scientific focus of the group is on molecular medicine applied to cardiovascular diseases and a rich range of approaches is currently conducted in the experimental labs (1-4).
The correct cultural background (training in Biology / Computer Science / Statistics or a mix of the three) and a strong interest in working in HT data analysis will be considered at the same level of specific experience in the above-mentioned fields.
Good knowledge of Scientific English will be positively evaluated for this position, together with good presentation and teamwork skills.
The salary and type of contract will be commensurated to the candidate\'s skills and professional profile.
A CV with one professional reference, details on educational background and of the biological and/or bioinformatic and/or data analysis skills and experience should be sent by email for a preliminary selection to
Alessandro Guffanti, Bioinformatics, Genomnia: alessandro.guffanti@genomnia.com
Please note that this position is NOT associated with Genomnia, which helps only with the candidate preliminary selection
including the following sentence for privacy at the end of the CV:
“Autorizzo il trattamento dei dati personali contenuti nel mio curriculum vitae in base art. 13 del D. Lgs. 196/2003
References
--------------------------------------------------------
Carè, A., Catalucci, D., Felicetti, F., Bonci, D., Ruiz-Lozano, P., Gallo, P., Segnalini, P., Bang, M.L., Dorn, G.W.2nd, Ellingsen, O., Croce, C.M., Peschle, C., and Condorelli, G.(2007): MicroRNA-133 controls cardiac myocyte hypertrophy. Nature Medicine, 13(5):613-8.
Elia, L., Contu, R., Quitavalle, M., Varrone, F., Chimenti, C., Russo, M.A., Cimino, V., De Marinis, L.,, Frustaci, A., Catalucci, D., Condorelli, G.(2009): Reciprocal regulation of microRNA-1 and IGF-1 signal transduction cascade in cardiac and skeletal muscle in physiological and pathological conditions; Circulation, 120(23):2377-85.
Quintavalle, M., Elia, L., Condorelli, G.* and Courtenidge, S.* (2010), MicroRNA control of podosome formation in vascular smooth muscle cells in vivo and in vitro. J. Cell Biol., 189(1):13-22
Zhang, D.H., Latronico, M.V.G., Zhang, J.L., Contu, R., Rizzi, R., Catalucci, D., Peterson, K.L., Brown, J.H., Chen, J, Sonenberg, N. and Condorelli G. (2010): mTORC-1 regulates cardiac function and myocyte survival through 4E-BP-1 inhibition. The Journal of Clinical Investigation, 120(8):2805-16
The research group of prof. Gianluigi Condorelli at National Research Council - University of Milano Bicocca is looking for one or more bioinformatician(s) with specific experience and/or interest in High Throughput data analysis.
The candidate(s) will be mainly in charge of the analysis of Next-Generation sequencing genome and transcriptome datasets for a range of applications and projects in the experimental labs (transcriptomics; mutation detection; ChiP Seq etc), but analyses of other datasets (such as microarray) will be part of the duties.
The scientific focus of the group is on molecular medicine applied to cardiovascular diseases and a rich range of approaches is currently conducted in the experimental labs (1-4).
The correct cultural background (training in Biology / Computer Science / Statistics or a mix of the three) and a strong interest in working in HT data analysis will be considered at the same level of specific experience in the above-mentioned fields.
Good knowledge of Scientific English will be positively evaluated for this position, together with good presentation and teamwork skills.
The salary and type of contract will be commensurated to the candidate\'s skills and professional profile.
A CV with one professional reference, details on educational background and of the biological and/or bioinformatic and/or data analysis skills and experience should be sent by email for a preliminary selection to
Alessandro Guffanti, Bioinformatics, Genomnia: alessandro.guffanti@genomnia.com
Please note that this position is NOT associated with Genomnia, which helps only with the candidate preliminary selection
including the following sentence for privacy at the end of the CV:
“Autorizzo il trattamento dei dati personali contenuti nel mio curriculum vitae in base art. 13 del D. Lgs. 196/2003
References
--------------------------------------------------------
Carè, A., Catalucci, D., Felicetti, F., Bonci, D., Ruiz-Lozano, P., Gallo, P., Segnalini, P., Bang, M.L., Dorn, G.W.2nd, Ellingsen, O., Croce, C.M., Peschle, C., and Condorelli, G.(2007): MicroRNA-133 controls cardiac myocyte hypertrophy. Nature Medicine, 13(5):613-8.
Elia, L., Contu, R., Quitavalle, M., Varrone, F., Chimenti, C., Russo, M.A., Cimino, V., De Marinis, L.,, Frustaci, A., Catalucci, D., Condorelli, G.(2009): Reciprocal regulation of microRNA-1 and IGF-1 signal transduction cascade in cardiac and skeletal muscle in physiological and pathological conditions; Circulation, 120(23):2377-85.
Quintavalle, M., Elia, L., Condorelli, G.* and Courtenidge, S.* (2010), MicroRNA control of podosome formation in vascular smooth muscle cells in vivo and in vitro. J. Cell Biol., 189(1):13-22
Zhang, D.H., Latronico, M.V.G., Zhang, J.L., Contu, R., Rizzi, R., Catalucci, D., Peterson, K.L., Brown, J.H., Chen, J, Sonenberg, N. and Condorelli G. (2010): mTORC-1 regulates cardiac function and myocyte survival through 4E-BP-1 inhibition. The Journal of Clinical Investigation, 120(8):2805-16
Location: EBI - Hinxton, near Cambridge, UK
Staff Category: Staff Member
Contract Duration: 3 years
Grading: 5
Closing Date: 26 June 2011
Reference number: EBI_00089
Staff Category: Staff Member
Contract Duration: 3 years
Grading: 5
Closing Date: 26 June 2011
Reference number: EBI_00089
Job Description: Presso il laboratorio di Bioinformatica dell IRCCS E.Medea.
Ambito scientifico: analisi della diversità genetica nelle poplazioni umane; identificazione di regioni genomiche sottoposte a selezione naturale; associazione genotipo/fenotipo per tratti complessi; analisi di network di interazione molecolare;
Requistiti: Laurea Magistrale in Fisica/Bioingegneria/Informatica; esperienze di programmazione in linguaggi quali R, C++; conoscenza di database relazionali (MySQL).
Job Description: The Institute of Experimental Neurology (INSPE) and Center for Translational Genomics and BioInformatics at San Raffaele Scientific Institute are seeking an outstanding candidate who will work across the Institute and the Center to work on new and challenging aspects of the genetics of neurological disease. The focus will be on the analysis of GWAS data as well as the integration of whole genome and exome re-sequencing data. The candidate will be expected to analyze SNP, INDEL and CNV data, perform genetic imputation across internal and public datasets, adjust for genetic stratification and correlation with clinical phenotypes.
By being affiliated to both INSPE and the Center for Translational Genomics and Bioinformatics, the candidate will benefit from being immersed in a wider bioinformatics and genomics environment as well as the clinical/biological environment of relevance to the project. GWAS and fine-mapping data from International Consortia projects (IMSGC and Immunochip), studies on pharmacogenomics of MS and AD patients and related clinical information are already available.
Essential Requirements:
-PhD or equivalent experience in Biology, Genetics, Bioinformatics, Computational Biology, Statistics or Applied Mathematics
- Good understanding of genetics and molecular biology
- Documented experience with statistical programs used for analyses of GWAS data such as EIGENSTRAT, PLINK, SAS, SPSS and imputation, such as MACH.
- Knowledge of statistical packages such as R, Bioconductor
- Experience in at least one scripting language, e.g. Perl, Python
- Good knowledge of written and spoken english
Desirable Requirements:
- Experience with analysis exome and whole genome re-sequencing data, e.g. alignment, variant calling and variant annotation
- Experience with genomic data mining and integration and pathway analysis, such as GSEA, Ingenuity
- Knowledge of programming languages such as Java, Perl, C
- Experience with database management and database design, e.g MySQL, PostgreSQL
- Web development and management experience
- Relevant publication record
Conditions:
Salary: According to experience and profile
Duration: 2-3 years
Start date: as soon as possible
How to apply:
Please send your application to stupka.elia@hsr.it and martinelli.filippo@hsr.it
Please include:
- cover letter
- CV including contact details
- names of two referees (with email and phone number)
