Research Scientist (Metaproteomics) in Norwich

Applications are invited for a Research Scientist (Metaproteomics) to join the Laboratory of Dr Kai Cheng in the Food, Microbiome and Health programme at Quadram Institute Bioscience (QIB), based in Norwich, UK.

Background: Since joining the Quadram Institute in 2025 as a Group Leader, Dr Cheng has been leading the AI & Metaproteomics for Human Gut Health group. The group’s mission is to advance microbiome research by developing computational methods, large-scale data resources, and AI-assisted frameworks for understanding microbial function. Ultimately, the research aims to enable predictive and data-driven insights into microbiome systems and their role in human health.

The role: We are seeking a highly motivated Research Scientist with a strong interest in metaproteomics and microbiome research. This position focuses on the development and application of computational and analytical methods for metaproteomics, including peptide and protein identification, taxonomic and functional profiling, and integration with other omics data. The successful candidate will work within a multidisciplinary team, applying computational approaches to large-scale microbiome datasets and contributing to research aimed at understanding microbial community function in health and disease. This is primarily a computational (dry-lab) role, focused on analysing and interpreting metaproteomics data and developing analytical workflows. The position involves close collaboration with experimental researchers and requires a solid understanding of proteomics workflows, but does not involve routine laboratory work. The role will also involve the use and development of AI-assisted approaches for scientific research, including data-driven modelling and the integration of modern AI tools into computational workflows. You will have access to state-of-the-art infrastructure and collaborate with leading researchers in microbiome science and proteomics. This is an excellent opportunity to contribute to cutting-edge research while developing expertise in a rapidly growing field.

The ideal candidate: Candidates should hold a PhD in Proteomics, Bioinformatics, Computational Biology, or a related discipline. A strong interest in proteomics/metaproteomics and microbiome research. Experience in analysing proteomics or metaproteomics data. Ability to interpret computational results in a meaningful biological context. Proficiency in programming/scripting (e.g. Python, Linux). While strong computational skills are important, this role places particular emphasis on domain knowledge and scientific understanding in metaproteomics. Applicants without direct experience in metaproteomics should clearly demonstrate their motivation and readiness to develop expertise in this field. Experience in multi-omics integration, machine learning, or microbiome data analysis will be considered advantageous.

Additional information: Salary on appointment will be within the range £37,500 to £45,350 per annum depending on qualifications and experience. This is a full-time post for a contract of 24 months. The closing date for applications will be 6 May 2026. We are committed to equity, diversity and inclusion, and welcome applications from all sectors of society. The Institute values of Respect, Innovation, Collaboration and Excellence are at the heart of all we do, and we expect all employees to share and display these values. To support our commitment, we have a range of family, faith and diversity friendly working arrangements to help all staff achieve excellence in their area of work. As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. The Quadram Institute Bioscience is a registered charity (No. 1058499) and is an Equal Opportunities Employer. The 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.