PostDoc in Bioinformatics / Computational Biology

Job reference:

PostDoc in Bioinformatics / Computational Biology


Firm:

University of Luxembourg


Category:

External


Work city:

Esch-sur-Alzette, Luxembourg


Work start:

15.02.2019


Created:

10.12.2018


Application deadline:

15.02.2019


Employment fraction:

100%


Type of contract:

Temporary


Job description

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.

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

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
  • Copies of degree certificates and transcripts
  • Name and contact details of at least two referees

Position contact information:

Name: Enrico Glaab

Address:
7, avenue des Hauts Fourneaux University of Luxembourg
Esch-sur-Alzette, Capellen L-4362
Luxembourg

Phone: +3524666446186

Email: enrico.glaab@uni.lu