진학프로석·박사 채용 접수 플랫폼

We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, exploiting the known grouping structures among features in the omics data, using dedicated approaches for structured data analysis. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations.

Your Profile

• The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas
• Prior experience in large-scale data processing and statistics / machine learning is required
• A track record of previous publications in bioinformatics analysis of large-scale biomedical data (omics, clinical, structural bioinformatics 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
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• Benefits

  We offer

  • A fully funded position with a highly 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
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  Selection process

  Applications should contain the following documents (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
  • Name and contact details of at least two referees

  For further information, please contact: 

  Enrico Glaab 

  enrico.glaab@uni.lu