Informatics & Predictive sciences is a global team of computational scientists. We pursue innovative computational research towards Celgene objectives, across domains ranging from bioinformatics, computational biology to machine learning, systems biology and mathematical modeling.
Please note : To apply for this role, you must supply both a CV and a cover letter, outlining your motivations / suitability / background)
Current areas of investigation include application and development of novel computational approaches to unravel the mechanism of action of Celgene’s pipeline compounds, methods for integrative analysis of omics data, predictive approaches to patient stratification, and mathematical models of intra- and inter-cellular processes.
In addition, we are involved in a range of academic collaborations aimed at understanding disease at molecular and systems level.
To join our team at the Celgene Institute for Translational Research Europe (CITRE) in Seville, Spain , we are looking for a Research Scientist, Computational Biology .
The successful candidate will work closely with Celgene’s global Research Analytics and Drug Discovery and Early Pipeline Biology teams to advance our research and development of novel therapeutic agents for a broad panel of oncology and hematology diseases.
Responsibilities include, but are not limited to :
Performing computational biology analysis for exploration and interpretation of high-throughput data, including (single-cell) NGS and proteomics data
Developing and implementing mechanistic inference approaches (including models for the integration of multiple genomic data types and public resources) to provide initial interpretation of compound mechanisms of action and gain insights into disease biology.
Contributing to experimental design, planning and prioritization in multi-disciplinary teams
Presentation and reporting of methods, results and conclusions to a publishable standard
Participating in wider group endeavors concerning the elucidation of disease biology, compound mechanisms of action, drug resistance and prediction of target indications.
PhD in computational biology / bioinformatics, statistics, computer science or related fields, from a recognized higher-education establishment
Prior experience (3+ years) of analysis, integration and interpretation of high-throughput data including proteomics and / or gene expression data supported by high-quality publications
Expertise in statistical programming and data manipulation, using e.g. R / Bioconductor, Matlab, Python, plus good knowledge of contemporary database structures
Experience in integrative network biology and analysis of single-cell data is a plus
Experience with version control and high-performance computing, including cloud computing and / or big data analytics platforms would be advantageous
Scientific curiosity, collaborative spirit and proven ability to contribute beyond personal projects
Ability to understand and communicate the output of computational research to multi-disciplinary scientific teams
Verbal and written English language fluency. Proficiency in Spanish would be advantageous
The position presents a unique opportunity to experience research in an industry setting and to contribute to helping patients with unmet medical need, while maintaining a link to academic research (publication is encouraged).
The position advertised is fixed-term (24 months) and based 100% in Seville, Spain