Biomarker Data Analyst

TN United Kingdom; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading global cancer research institution is seeking a Bioinformatics Researcher to develop computational approaches for investigating treatment-resistant breast cancers. The role involves integrating single-cell assays and collaborating with scientists to analyze large datasets, focusing on discovering next-generation biomarkers.

Qualifications

• Experience in multimodal analysis of large datasets.
• Programming and scripting experience.
• Basic knowledge of biology.

Responsibilities

• Develop and apply computational approaches for breast cancer research.
• Integrate single-cell assays to identify treatment resistance mechanisms.
• Optimize and extend computational pipelines for large-scale data.

Skills

Machine Learning

Deep Learning

Computer Vision

Data Visualization

Education

MSc in computational or numerical subjects

PhD in computational or numerical subjects

Job description

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Job Title: Bioinformatics Researcher

We are seeking a highly motivated bioinformatics researcher to develop and apply computational approaches for investigating subclonal architecture and plasticity in treatment-resistant breast cancers. This position is based within the ICR-CTSU Integrative Genomics Analysis in Trials Group, led by Dr. Maggie Cheang.

The successful candidate will employ computational methods to integrate single-cell assays, including RNA, T/B cell repertoire, and spatial genomics, to identify mechanisms of treatment resistance and potential therapeutic targets. Experience in multimodal analysis of large datasets, statistical modeling of data from in-house and collaborative sources, and data visualization tailored to various analysis modalities are essential.

Desirable skills include a working knowledge of machine learning (ML), deep learning (DL), computer vision, and current image analysis techniques. This role offers valuable experience in a leading global cancer research institution, focusing on discovery science within clinical trials and the development of next-generation biomarkers.

The project provides opportunities to work with data science techniques such as statistical modeling and single-cell multi-omics, while exploring novel molecular biomarkers of aggressive breast cancers. The successful candidate will also have the chance to optimize and extend existing computational pipelines for processing large-scale data in cancer trials, including genomics, single-cell, and spatial technologies. Collaboration with wet-lab scientists and the preparation of research publications are integral parts of this multidisciplinary role.

Key Requirements

• An MSc in computational or numerical subjects.
• Programming and scripting experience.
• Basic knowledge of biology.
• Experience with analysis and interpretation of single-cell assays is highly valuable.
• A PhD in computational or numerical subjects is desirable.

Department/Directorate Information

ICR-CTSU manages a portfolio of national and international phase II and III clinical trials, along with early phase I/II trials. The Integrative Genomic Analysis in Clinical Trials team, led by Dr. Maggie Cheang, comprises statistical, computational, and translational scientists. The team analyzes large datasets from bio-specimens collected during clinical trials to understand tumor biology.