Bioinformatics Research Associate
Join a £7.5M ARIA-funded programme to advance respiratory viral disease prevention through cutting-edge multi-omics data integration and AI-driven therapeutic discovery.
Best for:Best for bioinformaticians with a PhD in computational biology, genomics, or related fields, skilled in Python/R, multi-omics data analysis, and reproducible workflows (e.g., Nextflow/Snakemake).
Overview
This Bioinformatics Research Associate position at Imperial College London supports the ARIA-funded M2M programme, aiming to uncover innate immune mechanisms for respiratory viral protection. The role involves leading the integration and analysis of complex multi-omics datasets (e.g., single-cell transcriptomics, epigenomics, proteomics) to generate novel biological insights. Collaborating with a multidisciplinary consortium—including academics at UCL, Cambridge, and industry partners—you will develop computational pipelines, support AI-driven therapeutic discovery, and contribute to high-impact publications. The position bridges bioinformatics, immunology, AI, and translational medicine, offering a unique opportunity to advance global health research.
What you'll do
- Lead the harmonisation, integration, and advanced analysis of large-scale multi-omics datasets (e.g., single-cell transcriptomics, epigenomics, proteomics).
- Develop, maintain, and document robust computational pipelines for processing and quality control of next-generation sequencing and proteomics data.
- Identify innate immune correlates of protection through bioinformatics analyses across clinical and laboratory-derived datasets.
- Collaborate with AI and mathematical modelling teams to ensure bioinformatics outputs support predictive modelling and therapeutic development.
- Work with multidisciplinary teams (academic and industry partners) to deliver project milestones and contribute to high-impact publications.
- Present findings to collaborators, funding bodies, and at scientific conferences.
- Implement FAIR data principles and open science practices across the programme.
Requirements
Degree required: PhD in bioinformatics, computational biology, computer science, genetics, statistics, or a closely related discipline (or equivalent experience). Candidates without an officially awarded PhD may be appointed as a Research Assistant with adjusted salary.
Language: English (proficiency assumed for academic collaboration and publication).
Instruction: English
- Proficiency in Python, R, Bash, and/or Perl programming.
- Experience analysing genomics and multi-omics datasets (e.g., scRNA-seq, scATAC-seq, bulk RNA-seq, proteomics).
- Hands-on experience developing reproducible computational workflows using tools like Nextflow or Snakemake.
- Familiarity with HPC or cloud computing infrastructure and modern reproducible research practices.
- Strong analytical, communication, and problem-solving skills.
- No explicit nationality or residency restrictions mentioned.
- No age or prior experience caps specified.
Funding & terms
How to apply
Deadline: 2026-11-10
Apply through Imperial College London’s job portal by submitting a CV, cover letter, and any requested documents. Ensure your application highlights relevant skills in multi-omics data analysis, computational pipelines, and collaboration experience. For further details, contact Sofia Koletsi via the provided email.
- CV
- Cover letter
- Proof of PhD (if applicable) or equivalent experience documentation
Contact
Sofia Koletsi· Contact Person
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