Postdoctoral Research Scientist in Metagenomics

Economicsnetwork; Norwich; On-site; GBP 36,000 - 42,000; Full time

Job summary

An established industry player is seeking a Postdoctoral Research Scientist to join a pioneering project aimed at achieving net-zero emissions by 2050 through innovative research in soil health and biodiversity. This role involves utilizing cutting-edge metagenomics and machine learning techniques to explore soil microbiomes and their impact on land use. The ideal candidate will have a strong academic background and be skilled in independent research, statistical analysis, and programming. This full-time position offers a collaborative environment with opportunities for mentorship and professional growth, making it an exciting chance to contribute to vital climate resilience efforts.

Qualifications

• PhD or equivalent in biology, bioinformatics, or related discipline.
• Experience in scientific experiments, writing papers, and grant writing.

Responsibilities

• Use metagenomics to profile taxonomic and functional compositions of soil sites.
• Apply machine learning to predict soil microbiomes and their functional capacity.

Skills

Microbiomes & biodiversity

Metagenomics

Basic statistics

Programming (R, Python, Perl, C++)

Education

PhD in Biology

PhD in Bioinformatics

PhD in Computer Science

Tools

Machine Learning

Metagenomics Software

Job description

Applications are invited for a Postdoctoral Research Scientist to join the Laboratory of Dr Hildebrand and Prof Quince in the Research Faculty of the Earlham Institute, based in Norwich, UK.

Background:

This post is part of the OpenCLIM_LANDS project, that aims at providing the insights needed to put the UK on a path to achieving net-zero emissions by 2050, achieved through climate resilient soil health, food security, and biodiversity net gain. In this multi-centre project, we will combine climate forecasting with latest advances in soil science to enable a unique perspective into land use under forecasted climate change scenarios.

The role:

In this post, we will address the following questions: How do soil microbes establish, contribute and maintain healthy, biodiverse macro- & micro-communities, and how are these impacted by different land use scenarios? How can we use machine learning to predict soil microbiomes from either pristine or agriculturally used soils, predict their functional capacity (e.g. carbon storage)? What practices can help microbial soil communities recover? To answer these and more questions the OpenCLIM_LANDS multi-centre project was established.

The project holder will use metagenomics (similar to doi:10.1038/s41586-018-0386-6, 10.1111/1462-2920.15314) to profile both taxonomic and functional compositions of >3,000 newly sequenced soil sites. Using machine learning we will build comprehensive profiles of typically expected microbial profiles across soil sites (similar to doi: 10.1016/j.chom.2023.05.024) and their relation to soil health and carbon storage. Using a combination of robotics and third-generation sequencing, we will use predictive microbial modelling to improve land use on existing agricultural sites.

The environment:

The Hildebrand group uses metagenomics to research the diversity, community interactions, and evolution of microbes in communities using custom software solutions. The Quince group explores environmental and host-associated microbiomes using statistics and machine learning.

OpenCLIM_LANDS is a multi-centre UK collaboration between Earlham & Quadram Institutes, UEA, University of Leeds, Newcastle University, UK Centre for Ecology & Hydrology, among others.

The ideal candidate:

The applicant needs to hold a PhD (or equivalent) in biology, bioinformatics, computer science or a related discipline with a background and/or interest in at least one of the following subjects:

• Microbiomes & biodiversity
• Metagenomics & patient cohorts
• Ecology & evolution

The ideal candidate will have experience in conducting scientific experiments independently, writing papers, presenting work and grant writing. Basic statistics and programming skills (either R, python, Perl, C++, or equivalent) is expected. Specialised skills will be taught and developed through mentorship and collaborations.

Additional information:

Salary on appointment will be within the range £36,720 to £42,000 per annum depending on qualifications and experience. This is a full-time post with an expected end date of September 2027, with the potential for extension.

For further information and details of how to apply, please visit our website via the 'Apply' button aboveor contact the Human Resources team on 01603 450814 or [e-mail] quoting reference 1004892.

This role meets the criteria for a visa application, and we encourage all qualified candidates to apply. Please contact the Human Resources Team if you have any questions regarding your application or visa options.

As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.

The closing date for applications will be 8 June 2025. Interviews will likely be held around 17 and/or 18 June 2025.

£36,720 to £42,000 per annum