Postdoctoral Research Scientist in Computational Microbiomics

This postdoctoral position at the Earlham Institute in Norwich, UK, focuses on advancing computational and mathematical techniques to study the soil microbiome. The role involves creating bioinformatics pipelines to integrate long-read metagenomes with metatranscriptomes, as well as designing novel statistical models to resolve microbial strain diversity. The successful candidate will contribute to predictive models of soil and rhizosphere microbiomes, leveraging probabilistic graphical models and machine learning. The position is based in the High-Resolution Microbiomics group led by Dr Quince, offering a collaborative environment at the forefront of microbiome research.

• Develop bioinformatics pipelines to integrate long-read metagenomes with metatranscriptomes for microbiome analysis.
• Design and implement novel statistical approaches to resolve microbial strain diversity using probabilistic graphical models.
• Contribute to predictive models of soil and rhizosphere microbiomes using machine learning techniques.
• Collaborate with the research group to advance methods for resolving genomic diversity in soil microbiomes.
• Publish findings in high-impact scientific journals and present research at conferences.
• Assist in training and mentoring junior researchers or students in bioinformatics and statistical modeling.