_{23rd June, 2025}

Bioinformatician – Breast Cancer Genomics
Location: London - Onsite
Contract Type: Full-time

We are seeking a highly motivated and talented Computational Research Scientist to join our cutting-edge research programme focused on treatment-resistant breast cancers. This is an exciting opportunity to contribute to the understanding of genomic and transcriptomic determinants of heterogeneity in aggressive breast cancer, using state-of-the-art computational and statistical methods.

Working at the interface of computational biology and translational cancer research, you will apply and develop computational approaches to integrate bulk and single-cell genomic/transcriptomic data with imaging assays, with the aim of identifying novel mechanisms of therapy resistance and discovering new therapeutic targets.

Key Responsibilities

• Perform integrative analysis of high-throughput molecular profiling data from patient-derived samples and organoids.
• Analyse and validate findings using public genomic and transcriptomic datasets.
• Collaborate closely with experimental and clinical scientists to translate computational discoveries into pre-clinical and translational studies.
• Contribute to the optimisation and extension of computational pipelines for large-scale data processing.
• Communicate findings through scientific publications and presentations in a highly collaborative, multidisciplinary environment.

Essential Requirements:

• A PhD in a quantitative field (e.g. bioinformatics, computational biology, statistics, genomics). And ideally some post doctoral experience.
• Experience in the analysis of genomic and/or transcriptomic datasets.
• Proficiency in programming and scripting (e.g. R, Python).
• Solid understanding of statistical methods and data integration techniques.
• Excellent communication skills and the ability to work effectively within a multidisciplinary team.

This is an opportunity to contribute to impactful cancer research in a world-class institute. You will gain experience in cancer stem cell biology, advanced data science, and statistical modelling while working on clinically relevant questions in breast cancer.

We are looking for a proactive, innovative thinker with a strong background in computational biology and a keen interest in cancer research. If this sounds like you please apply to be considered for the role.










keywords: bioinformatics / bioinformatician / computational biology / computational biologist / post doc / post doctoral / cancer / oncology / research / genomics / transcriptomics 

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