Research Assistant in multiomics data analysis

Job description

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.
• Grow your career: gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.

• 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.

If you require any further details about the role, please contact: Dr Dezso Modos ( [email protected] ).