PLEASE NOTE: This position is not available anymore.
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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.
Employer:
The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre at the University of Luxembourg. The LCSB is accelerating biomedical research by closing the link between systems biology and medical research. Collaboration between biologists, medical doctors, computer scientists, physicists and mathematicians is offering new insights in complex systems like cells, organs, and organisms. These insights are essential for understanding principal mechanisms of disease pathogenesis and for developing new tools in diagnostics and therapy.
Profile requirements:
We offer:
Applications should contain the following documents (ideally combined into one pdf document):
Please send your applications with the subject line 'PostDoc in Bioinformatics application' to:
Dr. Enrico Glaab, [email protected]
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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.
- Fixed-term contract 2 years (extension possible), 40h/week, competitive salary
- Start date: 15th February 2019
Employer:
The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre at the University of Luxembourg. The LCSB is accelerating biomedical research by closing the link between systems biology and medical research. Collaboration between biologists, medical doctors, computer scientists, physicists and mathematicians is offering new insights in complex systems like cells, organs, and organisms. These insights are essential for understanding principal mechanisms of disease pathogenesis and for developing new tools in diagnostics and therapy.
Profile 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
- 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
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.
- State-of-the-art research facilities and computational equipment
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
- Please mention where you found the advert
Please send your applications with the subject line 'PostDoc in Bioinformatics application' to:
Dr. Enrico Glaab, [email protected]
