The candidate will be responsible for:
- Development, evaluating, comparing and applying bioinformatics based NGS; data-analysis pipelines, algorithms and annotation tools for a variety of research and diagnostic projects
- Informing on the design and implementation of new features for sequencing data analysis and storage of sequencing data
- Co-supervision of PhD students and interns
- Developing new research ideas and (co)-applying for grants
- Processing and quality control of WGS / metagenomics data
- Comprehensive analysis of (largely) sequence data sets from a variety of platforms
- Automation of data-analysis pipelines and algorithms
- Participating in teaching of (under)graduate students
We offer a challenging position within a dynamic and stimulating research environment and ask for a highly motivated, enthusiastic and pro-active team-player with:
- A PhD in bioinformatics, computational biology, human microbiota, microbial ecology or equivalent;
- Experience in computational bioinformatics and/or biostatistics within an NGS setting (data assemblage, analysis and annotation);
- Practical knowledge of NGS algorithms and available resources for microbiological bioinformatics;
- Strong programming skills in C/C++, Java, Perl, or Python;
- Experience in statistical computing environments such as R;
- Understanding of human disease biology and/or microbiology;
- Ability to prioritize and balance competing demands;
- Experience in machine learning and handling of multi-omics data, including metabolomics, is a plus.
The Department of Medical Microbiology (Maastricht University Medical Centre+) is looking for a postdoc in the computational analyses of metagenome and microbial WGS data.
The Maastricht UMC+ is an exciting, interdisciplinary university medical center with excellent facilities and leading research groups in, amongst others, systems biology (MACsBio), molecular imaging (M4I), (meta)genomics, next-generation sequencing and molecular epidemiology. The Department of Medical Microbiology has a strong focus on the study of infectious diseases, antimicrobial resistance, molecular typing and the human microbiome using WGS and metagenomics data. The lab has on-site automated sample processing as well as next-generation sequencing facilities.
Our research group has strong links with clinical departments (e.g. gastroenterology, pulmonology and pediatrics) within the Maastricht UMC+ as well as many (inter)national collaborations with academic and industrial partners within the context of multiple (inter)national consortia, including the Top Institute Food and Nutrition (TIFN), NWO-Carbohydrate Competence Center, Joint Programme Initiatives HDHL Intestinal Microbiomics and the Interreg i-4-1health project.