Bioinformatician

KINGS COLLEGE LONDON; United Kingdom; On-site; GBP 46,000; Full time

Job summary

A leading UK educational institution is seeking an experienced computer scientist for a full-time position focused on bioinformatics and machine learning within cancer research. The ideal candidate will have a PhD or be near completion, with significant experience in analyzing imaging datasets and developing AI methodologies. This role includes collaboration with multidisciplinary teams to advance cancer research. Competitive salary and fixed-term contract until 2028.

Qualifications

• Significant experience in analysis of cell- or imaging-based datasets.
• Experience with AI & machine learning methodology development.
• Knowledge of multimodal data integration.

Responsibilities

• Lead analysis and interpretation of multimodal imaging.
• Develop computational pipelines for data analysis.
• Collaborate with cross-functional teams.

Skills

Bioinformatics

Computational biology

Machine learning

Data integration

Communication skills

Data science tools (R, Python)

Education

PhD or near completion in related field

Job description

Organisation/Company KINGS COLLEGE LONDON Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom Application Deadline 26 Aug 2025 - 00:00 (UTC) Type of Contract Other 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 at King’s College London seeks to appoint a computer scientists (Breast Cancer Now Unit) in the Comprehensive Cancer Centre, which is the academic arm of one of the leading cancer centres in Europe bringing together world-class clinical services delivered by our NHS partners, with research and education for the benefit of cancer patients in South East London and beyond.

This post forms a key part of the Breast Cancer Now–funded programme, a major initiative uniting scientists and clinicians at King’s and the Institute of Cancer Research to develop novel immune therapeutic strategies for hard-to-treat triple negative breast cancers (TNBC).

Based in the Cancer Bioinformatics Group (Professor Anita Grigoriadis), the postholder will contribute to the development of scalable analytical tools and apply these to rich spatial and molecular datasets generated across the programme. Working closely with the programme lead (Professor Sheeba Irshad) and bioinformatics collaborators, the postholder will support hypothesis-led analyses in collaboration with other teams, providing key insights into tumour-immune interactions and treatment response in TNBC.

About The Role

We are seeking a highly motivated and experienced computer scientist to lead the analysis and interpretation of multimodal imaging, including spatial transcriptomics, single cell and large-scale omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in developing sophisticated computational pipelines, integrating complex multi-omics datasets, and collaborating with cross-functional teams between the Breast Cancer Now Unit at King’s College London and the Breast Cancer Now Centre at The Institute for Cancer Research to drive discoveries in immune-oncology of pre- and post-neoadjuvant treated triple negative breast cancer biology.

This is a full time and you will be offered an a fixed term contract until 3 years from start date.

About You

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

• PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field
• Significant experience in the analysis of cell- or imaging-based datasets, such as spatial transcriptomics, single-cell RNA-seq, or multiplex proteomics
• AI & Machine Learning Methodology Development for multimodal data
• Knowledge of multimodal data integration, including integration of cell-based data with imaging-based data.
• Experience with data science tools, analytics and programming languages (e.g. R, python) and HPC
• Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams
• Experience supporting or collaborating on hypothesis-driven research projects
• Ability to manage and prioritize workloads across multiple collaborators or work packages
• Strong organisational skills and attention to detail

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 next page after you click “Apply Now.” 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.

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: TBC

We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

Grade and Salary:£45,031 per annum inclusive of London Weighting Allowance

Job ID:122308

Close Date:26-Aug-2025

Contact Person:Anita Grigoriadis

Contact Details:[e-mail]