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Position: Postdoctoral Researcher - Bioinformatics Computational Systems Biology
Institution: University of Luxembourg
Department: Luxembourg Centre for Systems Biomedicine
Location: Luxembourg City, Luxembourg
Duties: You are experienced in next-generation sequencing (NGS) data analysis, bioscientific programming, and processing and analysis large-scale omics data. You will be responsible for the biomedical analysis of NGS, GWAS, and other functional omics data as part of a collaborative research project on the identification of molecular factors associated with the risk of developing Parkinson’s disease. The project will use both new and existing biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models, with the goal to conduct integrative pathway-, network- and machine learning analyses to improve the understanding of molecular network perturbations in Parkinson’s disease
Requirements: The candidate will have a PhD or equivalent degree in bioinformatics or computational biology. Prior experience in large-scale data processing and bioscientific programming is required. A track record of previous publications in bioinformatics analysis of omics data should be outlined in the CV
   
Text: UOL02587 15-Feb-2019 Company Text The University of Luxembourg is a multilingual, international research University. The University of Luxembourg has the following vacancy in the Luxembourg Centre for Systems Biomedicine (LCSB): Postdoctoral Researcher in Bioinformatics Computational Systems Biology (m/f) Réf : 50013235 - (R-AGR-3367-13-C) Fixed-term contract 24 months (extension possible) Full-time position, 40h/week, Start date: as soon as possible Your Role Description We seek a highly motivated bioinformatician who is experienced in next-generation sequencing (NGS) data analysis, bioscientific programming, and processing and analysis large-scale omics data. The candidate will be responsible for the biomedical analysis of NGS, GWAS, and other functional omics data as part of a collaborative research project on the identification of molecular factors associated with the risk of developing Parkinson’s disease. The project will use both new and existing biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models, with the goal to conduct integrative pathway-, network- and machine learning analyses to improve the understanding of molecular network perturbations in Parkinson’s disease. Your Profile The candidate will have a PhD or equivalent degree in bioinformatics or computational biology Prior experience in large-scale data processing and bioscientific programming is required A track record of previous publications in bioinformatics analysis of omics data should be outlined in the CV Demonstrated skills and knowledge in next-generation sequencing data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research Fluency in oral and written English For further information, please contact: Enrico Glaab enrico.glaab@uni.lu We offer A fully funded position with a very competitive salary. An exciting international environment and team. Further Information Applications should contain the following documents (ideally combined into one pdf document): A detailed Curriculum vitae A motivation letter, including a brief description of past research experience and future interests Copies of degree certificates and transcripts Name and contact details of at least two referees The University of Luxembourg is an equal opportunity employer. All applications will be treated in the strictest confidence. Please apply online until 15th February, 2019.
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