Research Fellow (Postdoctoral) - School of Biosciences - 107071 - Grade 7

CompanyUniversity of Birmingham

LocationBirmingham, England, United Kingdom

Posted At3/12/2026

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Occupation Type

Business and related research professionals

Occupation Code Skill LevelHigher Skilled

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£41,700 (£21.38 per hour)

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Description

Job Description

Position Details

School of Biosciences

Location: University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822

Grade: 7

Full Time, Fixed Term contract up to March 2030

Closing date: 2nd April 2026

Background

The ARTIC network are global leaders in the development of tools for real-time pathogen genomic surveillance while the NIHR Health Protection Research Unit (HPRU) in Public Health Genomics focuses on developing robust and reliable sequencing methods to respond to future epidemics. This post-doctoral position will contribute to both complementary programmes, developing ‘broadband’ metagenomic sequencing capabilities for rapid detection and characterisation of emerging and unknown pathogens. The role will advance cost-effective, rapidly-deployable metagenomic sequencing across diverse sample types and pathogen classes. Key focus areas include dramatically reducing sequencing costs through optimised workflows and open-source reagents, simplifying complex clinical metagenomic protocols, improving sensitivity through novel amplification and extraction methods, and developing long-read metagenomics approaches for reference-quality genome assembly. This work will enhance preparedness for future outbreaks by enabling metagenomic surveillance that maintains both targeted sensitivity for known pathogens and untargeted capability for novel pathogen discovery.

Role Summary

Develop cost-effective metagenomic sequencing workflows compatible with ARTIC field-deployable approaches and applicable across RNA viruses, bacteria, fungi, and parasites
Design and validate hybrid strategies such for SMART-Seq or multiplex PCR methods to improve sensitivity for low-biomass samples
Optimise host-depletion and pathogen-enrichment strategies for diverse sample types including blood, respiratory samples, urine, milk, water, and air
Develop and validate extraction methods optimised for long-read metagenomics, including lysis approaches for difficult-to-lyse organisms
Contribute to the development of standardised controls and mock communities for robust cross-site comparison of metagenomic methods
Contribute to the development bioinformatic pipelines for long-read metagenomics, clinical metagenomics and assembly and taxonomic classification of metagenome-assembled genomes (MAGs).

Main Duties

Design, execute, and analyse experiments to develop and validate metagenomic sequencing protocols for DNA/RNA and combined workflows
Optimise library preparation workflows incorporating SMART-9N and related template-switching methods to increase complexity and sensitivity and reduce costs

Develop and test hybrid enrichment strategies balancing targeted pathogen detection with untargeted discovery capabilities using combinations of gene-specific and random primers

Apply knowledge in a way which develops new intellectual understanding

Contribute to developing new models, techniques and methods

Disseminate research findings for publication, research seminars etc

Optimise host-depletion methods (e.g. Saponin/DNase) across diverse sample types and evaluate performance using standardised controls

Develop application-specific protocols for challenging sample types including blood samples, clinical swabs, water/air samples, stool, and sludge

Create and validate extraction formulations optimised for Gram-positive bacteria and fungi, including evaluation of novel fungal lysis compounds for key pathogens (Cryptococcus neoformans, Candida auris)

Establish extraction methods that preserve DNA integrity for long-read sequencing and evaluate current methods against novel approaches

Design and produce modular mock community controls that are sample-realistic, consistent, safe, and stable for shipping between sites to enable standardised method validation

Develop host and vector species identification methods from residual mRNA or mitochondrial DNA data for zoonotic and vector-borne disease investigations

Contribute to the development of analysis pipelines for assembly and polishing of large long-read metagenomic datasets (e.g. PromethION scale) to generate reference-quality metagenome-assembled genomes (MAGs)

Document all methods as clear, reproducible standard operating procedures

Collaborate with international partners in Africa (INRB, WACCBIP, KWTRP) and with UKHSA/HPRUs to validate protocols and perform cross-site comparisons

Contribute to training materials, virtual workshops, and open-source community engagement to facilitate global adoption of developed methods

Prepare scientific manuscripts for peer-reviewed publication and present findings at national and international conferences

Work collaboratively within multidisciplinary teams across both projects and communicate effectively with stakeholders in genomics, bioinformatics, microbiology, and public health

Person Specification

First degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications

High level analytical capability

Ability to communicate complex information clearly

Fluency in relevant models, techniques or methods and ability to contribute to developing new ones

Ability to assess resource requirements and use resources effectively

Understanding of and ability to contribute to broader management/administration processes

Contribute to the planning and organising of the research programme and/or specific research project

Co-ordinate own work with others to avoid conflict or duplication of effort

Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly

Informal enquiries to Joshua Quick, email: j.quick@bham.ac.uk

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Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview.

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