Job ID: 5836
Job date: 2017-12-05
End Date:
Company : University of Luxembourg Country : Role : Postdoc
Job date: 2017-12-05
End Date:
Company : University of Luxembourg Country : Role : Postdoc
Job Description:
We are looking for a bioinformatician and biostatistics expert who is well versed in the statistical analysis of large-scale biological data and bioscientific programming. The candidate will be responsible for the processing and analysis of genetic and functional omics data, including integrative pathway/network analysis and building and evaluating machine learning models. The project is part of a multi-centre collaboration on the omics-based stratification of Parkinson’s disease patients for developing personalized therapeutic interventions with partners in Germany and France. We offer: • A fully funded position with a very competitive salary. • An opportunity to join the Luxembourg Centre of Systems Biomedicine with an international and interdisciplinary ethos. • Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding. • Opportunity to work closely with international academic partners.
Additional Info:
Start date: To be determined How to Apply: 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, as well as the earliest possible starting date • Copies of degree certificates and transcripts • Optional: Name and contact details of two or more referees For further information, please contact: Enrico Glaab, enrico.glaab@uni.lu Contact: Enrico Glaab enrico.glaab@uni.lu[Click Here to Access the Original Job Post]
We are looking for a bioinformatician and biostatistics expert who is well versed in the statistical analysis of large-scale biological data and bioscientific programming. The candidate will be responsible for the processing and analysis of genetic and functional omics data, including integrative pathway/network analysis and building and evaluating machine learning models. The project is part of a multi-centre collaboration on the omics-based stratification of Parkinson’s disease patients for developing personalized therapeutic interventions with partners in Germany and France. We offer: • A fully funded position with a very competitive salary. • An opportunity to join the Luxembourg Centre of Systems Biomedicine with an international and interdisciplinary ethos. • Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding. • Opportunity to work closely with international academic partners.
Qualifications
Your Profile: • The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics or related subject areas (e.g. machine learning with applications in genetic and molecular data analysis) • Prior experience in large-scale data processing and bioscientific programming is required • A track record of previous publications in large-scale biological data analysis should be outlined in the CV • Demonstrated skills and knowledge in biostatistics, machine learning, GWAS or next-generation sequencing data analysis, and 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 EnglishRequeriments :
Skills :
Areas :
Additional Info:
Start date: To be determined How to Apply: 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, as well as the earliest possible starting date • Copies of degree certificates and transcripts • Optional: Name and contact details of two or more referees For further information, please contact: Enrico Glaab, enrico.glaab@uni.lu Contact: Enrico Glaab enrico.glaab@uni.lu[Click Here to Access the Original Job Post]