Bioinformatics Research Associate: AI-Driven Immunity Omics

Imperial Enterprise; Greater London; On-site; GBP 51,000 - 59,000; Full time

Benefits offered by this job

Career support for researchers

Development days

Generous pension scheme

ARIA programme collaboration

Job summary

Imperial College London is seeking a Bioinformatics Research Associate to apply cutting-edge computational biology to global health challenges. You will analyse multi-omics data, develop robust pipelines, and work with AI-driven approaches to therapeutic discovery within the ARIA-funded M2M programme.

You will collaborate with Imperial, UCL, industry partners and international researchers, presenting findings and contributing to publications while upholding FAIR data principles.

Qualifications

• PhD in bioinformatics, computational biology, computer science, genetics, statistics or closely related discipline (or equivalent experience).
• Strong programming skills in Python, R, Bash and/or Perl and experience in Unix/Linux environments.
• Hands-on experience analysing genomics and multi-omics datasets (scRNA-seq, scATAC-seq, bulk RNA-seq, proteomics).
• Experience developing reproducible computational workflows (Nextflow/Snakemake or similar).
• Experience with HPC or cloud computing and modern reproducible research practices.
• Excellent analytical, communication and problem-solving skills for independent and collaborative work.

Responsibilities

• Lead harmonisation, integration and analysis of large-scale multi-omics datasets.
• Develop and maintain robust computational pipelines for sequencing and proteomics data.
• Identify innate immune correlates of protection through advanced analyses.
• Collaborate with AI and modelling teams to support predictive modelling.
• Coordinate with Imperial, UCL, industry and international partners to meet milestones.
• Present findings to collaborators and funders; contribute to publications and grants.
• Support FAIR data principles and open science practices across the programme.

Skills

Python

R

Bash

Perl

Unix/Linux

Genomics

Multi-omics

Nextflow

Snakemake

HPC

Cloud

Data analysis

Communication

Collaboration

Education

PhD in bioinformatics or related

Tools

Nextflow

Snakemake

Job description

Imperial College London is seeking a Bioinformatics Research Associate to apply cutting-edge computational biology to global health challenges. You will analyse multi-omics data, develop robust pipelines, and work with AI-driven approaches to therapeutic discovery within the ARIA-funded M2M programme.

You will collaborate with Imperial, UCL, industry partners and international researchers, presenting findings and contributing to publications while upholding FAIR data principles.