Bioinformatics Research Associate

Imperial Enterprise; London Borough of Hammersmith and Fulham; On-site; GBP 45,000 - 49,000; Full time

Benefits offered by this job

10 development days

Sector-leading salary and remuneration

Generous pension schemes

43 days off a year

Diverse, inclusive culture

Job summary

Imperial College London is recruiting a Bioinformatics Research Associate to apply cutting-edge computational biology within the ARIA-funded M2M programme, analysing multi-omics data and supporting AI-driven therapeutic discovery.

You will integrate datasets from single-cell to proteomics, develop robust workflows, and collaborate with Imperial, UCL and industry partners to advance high-impact science. The role emphasises FAIR data practices and open science.

Qualifications

• PhD in bioinformatics, computational biology, computer science, genetics, statistics or related field, or equivalent experience.
• Strong programming skills in Python, R, Bash and/or Perl and Unix/Linux experience.
• Hands-on experience analysing genomics and multi-omics datasets (scRNA-seq, scATAC-seq, bulk RNA-seq, proteomics).

Responsibilities

• Lead the harmonisation, integration and analysis of large-scale multi-omics datasets (single-cell, epigenomics, proteomics).
• Develop, maintain and document robust computational pipelines for processing sequencing and proteomics data.
• Identify innate immune correlates of protection through advanced bioinformatics analyses.
• Collaborate with AI and modelling teams to support predictive modelling and therapeutic development.
• Work with Imperial, UCL and industry partners to deliver project milestones.
• Present findings to collaborators and at conferences; contribute to publications and grant applications.
• Support FAIR data principles and open science practices across the programme.

Skills

Python

R

Bash

Perl

Multi-omics analysis

Data integration

Education

PhD in bioinformatics (or closely related field)

Equivalent experience

Tools

Nextflow

Snakemake

Unix/Linux

HPC

Job description

Are you an ambitious bioinformatician looking to apply cutting-edge computational biology to one of the most exciting challenges in global health?

As a Bioinformatics Research Associate in this specially created position by Imperial College to support the success of the £7.5 million ARIA-funded M2M (Mechanism to Medicine) programme, you will play a central role in helping to uncover the innate immune mechanisms that protect individuals from respiratory viral infections and accelerate the development of a new generation of preventative medicines.

Working alongside Professor Ajit Lalvani and a multidisciplinary consortium of leading academic and industry partners (including Prof Marko Nikolic at UCL, Dr Adrian Grzybowski at AnuBio inc., and Dr Sarah Teichman at University of Cambridge among others), you will integrate and analyse complex multi-omics datasets, generate novel biological insights, and directly support AI-driven approaches to therapeutic discovery.

What you would be doing

• Lead the harmonisation, integration and analysis of large-scale multi-omics datasets, including single-cell transcriptomics, epigenomics and proteomics data.
• Develop, maintain and document robust computational pipelines for processing and quality control of next-generation sequencing and proteomics datasets.
• Identify innate immune correlates of protection through advanced bioinformatics analyses across clinical and laboratory-derived datasets.
• Work closely with AI and mathematical modelling teams to ensure bioinformatics outputs support downstream predictive modelling and therapeutic development.
• Collaborate with researchers across Imperial, UCL, industry partners and international collaborators to deliver key project milestones.
• Present findings to collaborators, funding bodies and at scientific conferences, while contributing to high-impact publications and future grant applications.
• Support implementation of FAIR data principles and open science practices across the programme

What we are looking for

We are looking for a highly motivated and collaborative scientist with:

• A PhD in bioinformatics, computational biology, computer science, genetics, statistics or a closely related discipline (or equivalent experience).

*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £45,399 - £48,876 per annum.

• Strong programming skills in Python, R, Bash and/or Perl and experience working in Unix/Linux environments.
• Hands-on experience analysing genomics and multi-omics datasets, including scRNA-seq, scATAC-seq, bulk RNA-seq and proteomics data.
• Experience developing reproducible computational workflows using tools such as Nextflow, Snakemake or equivalent workflow management systems.
• Experience working with HPC or cloud computing infrastructure and modern reproducible research practices.
• Excellent analytical, communication and problem-solving skills, with the ability to work independently and as part of a multidisciplinary team.
• A passion for translating complex biological data into impactful scientific discoveries.

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.
• As a member of research staff, you have 10 development days to use to develop your skills and explore your career prospects
• 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 .
• The opportunity to work on a pioneering £7.5 million ARIA-funded programme with the potential to transform protection against respiratory viral diseases.
• A unique position at the interface of bioinformatics, immunology, artificial intelligence and translational medicine.
• Collaboration with leading researchers and partners from Imperial College London, UCL, industry and international institutions.
• Genuine opportunities to contribute to high-impact publications, establish scientific independence and support future funding applications.

Further information

This is a full-time post (35 hours per week), fixed-term (48 months).

If you require any further details about the role, please contact: Sofia Koletsi [e-mail]

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.

We reserve the right to close the advert before the stated closing date, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at [e-mail]. We're here to help.

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.