Research Fellow - Senior Bioinformatician in Spatial Biology

About the role

We are seeking a Senior Bioinformatician to join the Hub for Applied Bioinformatics (HAB) within the Faculty of Life Sciences & Medicine at King’s College London. Reporting to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. 

In addition to your research leadership, you will play a central role in education and training (20% of your time). You will co-lead a core module on our Applied Bioinformatics MSc, designing the syllabus, delivering lectures and hands-on tutorials, setting and marking assessments, and mentoring students. You will also develop and deliver bespoke HAB workshops on core bioinformatics topics (spatial biology, AI/ML, statistics) and support researchers across the Faculty to build their computational skills.

As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising with wet-lab scientists, statisticians and facility staff to ensure data integrity and robust analysis. 

You will contribute to grant applications, support publications in high-impact journals, and help shape the future direction of HAB activities. You will be offering a stimulating environment at a world-leading research institution, with access to state-of-the-art facilities and a vibrant community of interdisciplinary collaborators. 

This is a full-time (35 hours per week) contract and you will be offered an indefinite contract. 

The position is anticipated to begin around the start of the academic year in September, though there is flexibility if a later start date is necessary. 

Following fully on-campus six-month probation period, this post is available as a hybrid working post or with flexible working (min 3 days on campus) in agreement with the line manager.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the  Centre for Research Staff Development for more information.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

• PhD qualified in relevant subject area  
• 3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus on spatial transcriptomics 
• Proven ability to develop and optimise spatial biology pipelines
• Expertise in multi-omics data integration and statistical modelling  
• Teaching and mentorship experience 
• Excellent interpersonal and communication skills across wet-lab, computational and facility teams 
• Familiarity with high performance computing environments and reproducible workflows 
• Experience providing support for spatial transcriptomics data analysis and interpretation   

Desirable criteria

• Contribution to open-source bioinformatics tools  
• Hands-on experience with machine-learning frameworks 

Closing date: 24 August 2025

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