We are looking for a bioinformatician and machine learning 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 personalised therapeutic interventions with partners in Germany and France.
The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics or related subject areas (e.g. machine learning with applications in genetic, molecular or structural bioinformatics 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, pathway and network analysis, programming and software / web-
application development 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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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.