Postdoc in Microbiome Data Science & Mental Health

Quadram Institute Bioscience; Norwich; On-site; GBP 39,000 - 47,000; Full time

Job summary

The Quadram Institute Bioscience invites applications for a postdoctoral-level role focused on integrating and analysing datasets related to diet, microbiome, metabolomics, and mental health. You will develop reproducible ML workflows for longitudinal multi-omics data and perform causal-inference analyses to understand gut microbiomes.

Ideal candidates hold a PhD in bioinformatics or related field, with strong programming skills and experience in microbiome data analysis.

Qualifications

• PhD in bioinformatics or related field is required or equivalent.
• Experience with microbiome data analysis is essential.
• Strong programming skills and numerical modelling experience preferred.

Responsibilities

• Integrate and analyse datasets to identify reproducible relationships between data layers.
• Harmonise heterogeneous dietary, microbiome, metabolomic and mental-health datasets.
• Develop reproducible analysis workflows for longitudinal and multi-omics data.
• Conduct causal-inference analyses to understand gut microbiomes.
• Apply validated machine-learning models to develop robust health predictions across cohorts.

Skills

Microbiome analysis

Machine learning

Statistical modelling

Mediation analysis

Programming languages

Numerical ecology

Education

PhD in bioinformatics or related

Tools

R

Python

Metagenomics tools

Job description

The Quadram Institute Bioscience invites applications for a postdoctoral-level role focused on integrating and analysing datasets related to diet, microbiome, metabolomics, and mental health. You will develop reproducible ML workflows for longitudinal multi-omics data and perform causal-inference analyses to understand gut microbiomes.

Ideal candidates hold a PhD in bioinformatics or related field, with strong programming skills and experience in microbiome data analysis.