Theoretical Biology & Bioinformatics

tree of life

Open positions:

Tenure track position (assistant professor) Bioinformatics/comparative genomics education

Data science and bioinformatics are rapidly transforming the Biological Sciences. We believe that making biology students data and computer literate and enabling them to thrive in biological research that touches on genomics, genetics and evolution is one of the most important goals of modern biology education. To strengthen our team and our educational mission, we are seeking a driven and enthusiastic colleague. Are you an ambitious and inspirational educator with a background in bioinformatics, demonstrated teaching experience, and a clear vision on academic education in an international classroom? Do you want to contribute to, and develop new bioinformatics courses, mentor and coach students at levels ranging from BSc to PhD? Besides education you will have the opportunity to be involved in research, either ongoing projects or personal interest for 20% of the time. You will be embedded within a diverse and collaborative community of Bioinformatics Teachers and Researchers across the Utrecht Science Campus.
For more details click here:

Bioinformatician/Data Steward Metagenomics

Metagenomes are complex datasets that contain genomic information from bacteria, viruses, and other microbial organisms. Laboratories around the world are generating tens of thousands of these datasets with high-throughput DNA sequencing machines, providing an unprecedented picture of the microbial world we live in. We are just beginning to understand the many interactions taking place in this global microbiome. In the role of Bioinformatician/Data Steward Metagenomics, you will strengthen the metagenomics research at Utrecht University by developing and maintaining pipelines for downloading and analysing genomic and metagenomic datasets from public repositories. You will play an important role in our team and contribute to answering diverse research questions related to the microbiome, such as predicting bacteriophage-host interactions, identifying growth-stimulating bacteria for agriculture, and understanding the role of bacteria in diseases such as colorectal cancer. For an example of our scientific work based on metagenomic data analysis, see Dutilh et al. (2014), "A highly abundant bacteriophage discovered in the unknown sequences of human faecal metagenomes", Nature Communications 5: 4498 (DOI: 10.1038/ncomms5498).
For more details click here: