Research Assistant in multiomics data analysis

SONICOM; Greater London; On-site; GBP 45,000 - 49,000; Full time

Benefits offered by this job

43 days off a year

Generous pension schemes

Inclusive culture

Job summary

Imperial College London seeks a Research Assistant to support multiomics data analysis within the DISCOVER ME project at the Department of Metabolism, Digestion and Reproduction. The post is based at Imperial and focuses on computational analysis and pipeline deployment.

You will analyze transcriptomics and metabolomics data, run scRNA-seq and network propagation pipelines on high performance computing environments, and contribute to reports and potential publications.

Qualifications

• Master's degree in computational or systems biology is essential.
• Demonstrable expertise in single-cell RNA-seq analysis.
• Experience with causal network propagation models.

Responsibilities

• Analyze transcriptomics and metabolomics data from the DISCOVER ME cohort.
• Run single-cell RNA-seq and network propagation pipelines on HPC environments.
• Code maintenance and documentation of pipelines.
• Assist with writing reports, presenting findings, and publications.

Skills

Bioinformatics

Single-cell RNA-seq analysis

Causal network propagation models

Computational biology

Education

Master's degree in computational or systems biology

Job description

Research Assistant in multiomics data analysis

Job number MED05937 Faculties Faculty of Medicine Departments Department of Metabolism, Digestion and Reproduction Salary or Salary range £45,399 - £48,876 per annum Location/campus Hammersmith Campus - On site only Contract type work pattern Full time - Fixed term Posting End Date 22 Sept 2026

About the role

We are looking for a research assistant to support the multiomics analysis of the datasets from the EU-funded DISCOVER ME project. The post is based at Imperial College London at the Department of Metabolism, Digestion and Reproduction. The postholder will facilitate the establishment and deployment of large scale in silico multiomics systems biology pipelines to help understanding ME/CFS pathogenesis.

What you would be doing

You will analyse transcriptomics and metabolomics data from the DISCOVER ME cohort, and run single cell RNA-seq and metabolomics network propagation pipelines on high performance computing environments. This work is fully computational. Your duties will include code maintenance and documentation of the applied pipelines. You will also assist with the writing of reports to research sponsors, with presenting findings to colleagues, and assisting with the publication of findings.

What we are looking for

Due to the border of the medical and computational field of the project we are looking for someone who has both expertise in bioinformatics and knowledge of the biomedical field. A Master degree is essential in computational or systems biology. Demonstrable expertise in single cell RNA-seq analysis and causal network propagation models is also essential.

What we can offer you

• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Sector-leading salary and remuneration package (including 43 days off a year and generous pension schemes).
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing .

Further information

The position is planned to start November 2026. This is a full-time post (35 hours per week).

This role is for a fixed-term contract for 36 months.

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages .

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Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.