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The Institute of Cancer Research
The Institute of Cancer Research

Software Engineer

Sutton On-site 2-5 yrs exp£57k – £64k / year
Software DevelopmentData AnalysisDatabase DesignGUI DesignAsset Design

Requirements

Must hold a degree in computer science, data analysis, health informatics, or a similar field. Requires strong programming skills and expertise in database, GUI, and asset design.

Job Description

Salary: Salary range: £57,190 - £64,000 per annum. Commencement on the salary range is subject to comparable skills and experience.

Reporting to: Dr Tom Lund

Duration of Contract: Fixed Term for 1 year

Hours per week: 35 hours per week

Location: Sutton

Closing Date: Friday 25th of August

This role is eligible for ICR Sponsorship. If this is your first visa in the UK, support will be provided for costs associated with Visa application. If you are considering relocating to the UK, further information can be found here.

Under the guidance of Dr Tom Lund, we are seeking to recruit a Software Engineer to contribute to work on the development of an open-source software for digital and computational pathology. The post holder will build upon existing work within the group, working closely within the exiting computational team and help develop our existing packages into a cohesive, accessible and sustainable collection of applications for image analysis and research data management. The successful candidate will play a key role in supporting the unit’s research and software development, specifically in the area of data, analytics, algorithms and AI for Cancer Research. A central objective of the position will be to translate research methods and prototype software into robust, well documented and accessible tools for cancer research and clinical trials. These applications will support pathologists and researchers in the IPU who may have limited computational experience, enabling them to apply reproducible image-analysis workflows. This will require close engagement with end users to understand scientific requirements, design intuitive interfaces and improve the software in response to user feedback.

About You

The successful candidate must have a degree in data analysis/computer science/health informatics or similar relevant field, with strong database, GUI and asset design capabilities, as well as programming skills (please see JDPS for full list of requirements).

Department/Directorate Information

The Integrated Pathology Unit (IPU) is a joint venture between The Institute of Cancer Research (ICR) and the Royal Marsden Hospital (RMH), and led by Deputy Director Dr Tom Lund, alongside Director Manuel Salto-Tellez. The IPU is a tissue-based laboratory with the mission to develop complex and highly quantitative approaches to FFPE tissue analysis (wet lab and in-silico) in the space of translational and clinical research, and thus is a globally recognised deliverer of clinical research and early biomarker adoption into diagnostic applications.

To meet these goals, the IPU deploys state-of-the-art tissue-based profiling such as single-plex immunohistochemistry (IHC), RNA in situ hybridization (ISH), IHC/Immunofluorescence multiplexing (mIF) and spatial transcriptomics and proteomics, together with multi-scan imaging and digital pathology/artificial intelligence biomarker quantitation. This approach is applied to well-curated cancer sample cohorts (from routine diagnostics or from clinical trials) to a) explore the clinical relevance of biomarkers and pathways; and b) identify the best quantitative delivery of biomarker analysis. The IPU works in a coordinated manner with other programmes in ICR and RMH carrying out tissue-based analysis, and it is expected to serve as a go-between for academia, healthcare, and industry. The work specifically involves identification of biomarkers of clinical relevance; clinical validation of molecular pathways; key technical capacity to work with large clinical and clinical-trial cohorts, including tissue microarray construction, as well as IHC/RNA-ISH/mIF testing. This is complemented with experience in open-source development and off-the-shelf use of tools for computational pathology analysis. The Integrated Pathology Unit is mainly based in the Centre for Molecular Pathology (CMP) on the Sutton site of The Royal Marsden NHS Foundation Trust.

Biomedical Research Centre - Integrated Pathology Unit

What We Offer

  • A dynamic and supportive research environment
  • Access to state-of-the-art facilities and professional development opportunities
  • Collaboration with leading researchers in the field
  • Competitive salary and pension

We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact [email protected] or [email protected].

Why work for us?

As a member of staff, you'll have exclusive access to a range of staff benefits.

The ICR is committed to supporting overseas applicants applying for roles, please click here to find out further information.

The Institute of Cancer Research, London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. Further information about working at the ICR can be found here.

At the Institute of Cancer Research, we champion diversity as we believe it fuels innovation and drives impactful research. We welcome applicants from all walks of life, valuing diverse perspectives that enrich our work.

Don't let a checklist of qualifications hold you back – if you're passionate about the role, we want to hear from you. Your unique experiences and backgrounds contribute to the richness of our team. We are committed to being an equal opportunity for all, regardless of ethnicity, gender, age, sexual orientation, disability, or any other dimension of diversity. Join us in creating an inclusive environment where everyone's voice is heard and valued.

Education

Bachelor Degree

Skills

Software DevelopmentData AnalysisDatabase DesignGUI DesignAsset DesignProgrammingImage AnalysisResearch Data ManagementAlgorithm DevelopmentAIComputational Pathology