Postdoctoral Research Scientist in Data Science
Investigate diet, microbiome, and mental health interactions through advanced data science and machine learning.
Best for:Best for bioinformaticians and data scientists with a strong background in microbiome analysis, multi-omics, and machine learning.
Overview
The Quadram Institute Bioscience seeks a Postdoctoral Research Scientist to join the Hildebrand Group in Norwich, United Kingdom. The successful candidate will integrate and analyse complex, multi-omics and longitudinal datasets to uncover reproducible links between nutrition, gut microbiomes, and mental wellbeing. Responsibilities include harmonising diverse datasets, developing statistical workflows, performing causal inference, and applying machine learning models for predictive health analysis. This full-time fixed-term role runs until August 2028 with potential extension, offering an interdisciplinary research environment bridging food science, microbiology, and public health.
What you'll do
- Harmonise heterogeneous dietary, microbiome, metabolomic, and mental-health datasets for downstream analysis.
- Develop and execute reproducible statistical analysis workflows for longitudinal and multi-omics datasets.
- Conduct causal-inference analyses to evaluate the specific role of gut microbiomes in health outcomes.
- Implement validated machine-learning models to generate robust health predictions across diverse population cohorts.
- Identify specific bacterial strains, genes, and microbial communities associated with dietary patterns and mental wellbeing.
Requirements
Degree required: PhD or equivalent in bioinformatics or a related computational discipline
Language: English; professional proficiency
Instruction: English
- Demonstrated experience in programming languages for data analysis and scientific computing
- Background in bioinformatics, computational biology, or related quantitative research
- Ability to handle and integrate heterogeneous, large-scale biological datasets
- Strong foundation in statistical modelling or data analysis workflows
- Must hold or be close to completing a PhD in a relevant field
- Meets criteria for a UK visa application if applicable
Funding & terms
How to apply
Deadline: 2026-11-17
Interested candidates should submit their application materials through the designated institutional portal before the closing date. For inquiries regarding the position, contact the Human Resources team directly via email or phone quoting reference 1006222.
- CV
- Cover letter
- PhD certificate or proof of award
Contact
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