
BlueRemediomics partner EMBL is seeking a postdoctoral fellow in the area of marine microbial metagenomics and modelling as part of the BlueRemediomics consortium for their lab in Heidelberg, Germany.
EMBL is Europe’s life sciences laboratory – an intergovernmental organisation with more than 110 independent research groups and service teams covering the spectrum of molecular biology. It operates across six sites in Heidelberg (headquarters), Barcelona, Cambridge, Grenoble, Hamburg and Rome. EMBL’s mission is to perform basic research in molecular biology; train scientists, students and visitors at all levels; offer vital services to scientists in the public and private sectors within the member states; develop new instruments and methods; and engage actively in technology transfer.
The Zimmermann-Kogadeeva lab at EMBL Heidelberg is looking for a postdoctoral fellow to conduct research within the BlueRemediomics consortium. The overarching goal of the project is to investigate metabolic interactions in marine microbial communities by combining multi-omics, bioinformatics and modelling approaches to leverage natural sources for biological products that could be developed for use in agriculture, bioremediation, pharmaceuticals, and more.
Your role:
You will conduct an independent project and collaborate with other researchers in the lab and within the BlueRemediomics consortium to investigate metabolic interactions in marine microbial communities from large-scale metagenomics and multi-omics datasets in combination with network-based approaches and metabolic modelling. Specifically, you will work towards rational discovery of novel bioactives and processes, as well as identification of habitat generalists and specialists, autotrophs and mixotrophs, and habitat-specific traits. This information will help to design synthetic communities and optimise a desired metabolic function, such as the degradation or production of a specific compound.
Requirements:
- A Ph.D. degree or equivalent working experience in bioinformatics, computational biology, biostatistics, or related subjects
- Experience with high-throughput sequencing, metagenomics or metatranscriptomics analyses of large-scale datasets
- Experience in data analysis, statistics and visualization, e.g. in Python or R
- An interest in a collaborative project within a large scientific consortium
- Ability to work independently and in a team, and at the interface between life sciences and informatics
- Excellent communication and presentation skills, a high level of motivation and fluency in English
Application Deadline: 15 October 2023
For more information and to apply for the role, please visit the link below!