PostDoc in Bioinformatics (Luxembourg)

University of Luxembourg
Luxembourg Centre for Systems Biomedicine
Luxembourg Capellen Esch-sur-Alzette
www.lcsb.lu

Description

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.

We offer:

- A fully funded position with a very competitive salary.
- An opportunity to join the National Centre of Excellence in Research on Parkinson’s disease with an international and interdisciplinary ethos.
- Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding.
- Opportunity to work closely with worldwide academic partners.
- The University offers highly competitive salaries based on the candidate's experience and is an equal opportunity employer.


Qualifications

- The candidate will have a PhD or equivalent degree in machine learning, statistcs or bioinformatics
- 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 machine learning, biostatistics, next-generation sequencing data analysis (in particular RNAseq), 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


Start date

As soon as possible

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
- Please mention where you found the advert

Send your application in one pdf to: enrico.glaab@uni.lu


Contact

Enrico Glaab
enrico.glaab@uni.lu