We seek a highly motivated bioinformatician or biostatistician who is well versed in the analysis of biological data and bioscientific programming for a project on the study of neurodegenerative disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of Parkinson’s disease datasets, focusing on omics, neuroimaging and clinical data. This will include implementing and applying software analysis pipelines and jointly interpreting of disease-related data together with experimental and clinical collaborators. The project will use multiple layers of new biological high-throughput data from different patient subgroups and healthy controls. 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 in Parkinson’s disease.
We offer:
- 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
In Short:
- Contract Type: Fixed Term Contract 24 Month (extension possible)
- Work Hours: Full Time 40.0 Hours per Week
- Location: Belval, Luxembourg
- Job Reference: UOL05365
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)
- The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology 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 biological data (e.g. omics, clinical, structural bioinformatics, neuroimaging 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
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
- Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.