Postdoctoral Bayesian Microbiome Data Scientist

Earlham Institute; Norwich; On-site; GBP 39,000 - 53,000; Full time

Job summary

Earlham Institute in Norwich, UK, invites applications for a three-year Senior Postdoctoral Research Scientist to join the High-Resolution Microbiomics group led by Dr Christopher Quince. This position focuses on developing computational methods to study soil microbiomes and integrate multi-omics data.

The role involves building pipelines to combine long- and short-read metagenomes with metatranscriptomes, and exploring probabilistic modelling to characterize strain diversity and microbial

Qualifications

• PhD in bioinformatics, mathematics or statistics, or a related subject with strong statistical modelling.
• First degree in any area of science or mathematics.

Responsibilities

• Develop computational methods for integrating long and short read metagenomes with metatranscriptomes.
• Build probabilistic models to resolve strain diversity and support mechanistic community models.
• Develop bioinformatics pipelines and potentially novel statistical approaches for data integration.

Skills

Statistical modelling

Bayesian statistics

Machine learning

Scientific writing

Oral presentations

Education

PhD in bioinformatics, mathematics or statistics, or related subject

First degree in any area of science or mathematics

Tools

Command line bioinformatics

R

Python

C/C++

Job description

Earlham Institute in Norwich, UK, invites applications for a three-year Senior Postdoctoral Research Scientist to join the High-Resolution Microbiomics group led by Dr Christopher Quince. This position focuses on developing computational methods to study soil microbiomes and integrate multi-omics data.

The role involves building pipelines to combine long- and short-read metagenomes with metatranscriptomes, and exploring probabilistic modelling to characterize strain diversity and microbial