PostDoc in Bioinformatics / Biostatistics

Job ID: 5836
Job date: 2017-12-05
End Date:

Company : University of Luxembourg 

Country :

Role : Postdoc 


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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.

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 English


Requeriments :

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

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