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Opportunity: Researcher, Regenerative Medicine @ CITRE Computational Biology -- Sevilla, Spain
Submitted by Matthew Trotter; posted on Thursday, February 13, 2014
BACKGROUND:
We seek a talented computational biologist to work on identification and elucidation of clinically-relevant phenotypes from high-dimensional tissue, cell and molecular profiling data. The patterns and relationships identified will contribute directly to understanding mechanisms of action of Celgene cellular therapies and to patient selection strategies at the vanguard of regenerative medicine research.

The role focuses on the application of network and pathway analysis, profile decomposition and phenotype identification approaches to pre-clinical and clinical data arising from the Celgene Cellular Therapeutics regenerative medicine programme. Demonstrable previous experience in the application of computational analysis methods to haematological cell profiling data is prerequisite.

The position would suit an early-stage post-doctoral researcher, looking to bridge the gap between academic and industrial research environments. The CITRE Computational Research group applies contemporary predictive methods to high-throughput assay data from real patients to improve therapeutic outcomes in complex diseases of unmet medical need.

RESPONSIBILITIES:
Responsibilities include, but are not limited to:

Work within CITRE Computational Biology group and collaborate with stakeholders at Celgene Cellular Therapeutics to:
* Implement and develop contemporary computational algorithms for phenotype identification, inference of biological mechanisms, and data visualization;
* Apply and assess methods on high-throughput profiling and ancillary datasets that arise both from corporate research and the public domain;
* Integrate data across multiple experimental platforms, and transfer knowledge from pre-clinical experiments to clinical trials;
* Contribute to experimental design, analysis planning, and data integration strategies in collaboration with colleagues located in the US;
* Present and report methods and results to a publishable standard, both internally and outside the company where required.

REQUIREMENTS:
Only candidates in possession of the following will be considered.
* A Ph.D. in computational biology or related fields from an internationally-recognized higher-education establishment;
* Experience (2+ years) in the computational analysis and interpretation of transcriptional profiling data in particular, in haematological disease or regenerative medicine research scenarios;
* Experience in the analysis of data from a wider range of relevant assay platforms, e.g. flow cytometry, would be considered advantageous;
* Experience of working within a server-based, command-line environment, and in use of the R/Bioconductor statistical programming environment;
* Track record of peer-reviewed publication and collaborative inter-disciplinary scientific research;
* Fluent verbal and written English language skills.

TERMS:
Fixed term position, 12 months with possibility of extension.

LOCALE:
Celgene Institute for Translational Research Europe (CITRE®), Sevilla, Spain

[link]

COMPENSATION:
A competitive salary offer will be made to the successful applicant.

HOW TO APPLY:
Those interested in the position described should submit full CV and cover letter addressed to:

Argiñe Pereda (Apereda[at]celgene.com)
CELGENE S.L.
Paseo de Recoletos 39, 4º
28004 MADRID

By sending your application you acknowledge that the information you provide to Celgene will be stored in a database which is the property of Celgene, for the purposes of processing this information. This information may be shared with Celgene affiliates and agents, including Celgene's parent company based in the USA (Celgene Corporation). You understand that you have the right of access to and the right to rectify the data concerning me, according to applicable privacy laws. You understand that these rights can be exercised by sending an email to the following address: privacy[at]celgene.com, and that more information can be found on the privacy policy located on Celgene's web site, [link]

DEADLINE:
28th February 2014

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