Research Fellow - Senior Bioinformatician in Spatial Biology

European Commission; United Kingdom; Hybrid; GBP 53,000 - 63,000; Full time

Job summary

A leading university in the UK is seeking a Senior Bioinformatician to lead spatial biology projects and co-teach on their Applied Bioinformatics MSc. This full-time role involves developing analysis pipelines and engaging in educational activities in a collaborative environment. The position offers a salary of £53,149 - £62,422 per annum. Applications are open until 24 Aug 2025.

Qualifications

• PhD qualified in relevant subject area.
• 3+ years’ post-doctoral or equivalent industry experience in omics with focus on spatial transcriptomics.
• Proven ability to develop and optimise spatial biology pipelines.
• Expertise in multi-omics data integration and statistical modeling.
• Experience providing support for spatial transcriptomics data analysis and interpretation.

Responsibilities

• Lead the development and optimisation of spatial biology projects.
• Co-lead core module on Applied Bioinformatics MSc, designing syllabus and delivering lectures.
• Maintain reproducible, scalable workflows.
• Contribute to grant applications and support publications.

Skills

PhD qualification in relevant subject area

3+ years’ experience in omics, preferably in spatial transcriptomics

Proven ability to develop spatial biology pipelines

Expertise in multi-omics data integration

Teaching and mentorship experience

Excellent interpersonal and communication skills

Familiarity with high performance computing environments

Experience with spatial transcriptomics data analysis

Contribution to open-source bioinformatics tools

Hands-on experience with machine-learning frameworks

Education

PhD in relevant subject area

Job description

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Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country United Kingdom Application Deadline 24 Aug 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

About Us

The Faculty of Life Sciences & Medicine brings together disciplinary strengths in biomedical sciences, clinical research and public health to improve human health. Our faculty encompasses world-class departments (from neuroscience and structural molecular biology to infectious diseases and population health), close ties with NHS partners, and a commitment to translational research and high-quality teaching.

The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics, spatial biology and AI/ML projects. We co-lead the Applied Bioinformatics MSc, run practical workshops, and we recently partnered with KCL’s Spatial Biology Facility , an advanced centre equipped for high-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research.

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.

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

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

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit ’ pages.

Interviews are due to be held on September 3rd.

This post is subject to Occupational Health clearance.

Grade and Salary:£53,149 - £62,422 per annum, including London Weighting Allowance

Job ID:120905

Close Date:24-Aug-2025

Contact Person:Alessandra Vigilante

Contact Details:[e-mail]