Research Fellow in Computational Biostatistics

Unist; London; On-site; GBP 35,000 - 60,000; Full time

Job summary

King’s College London is hiring a Research Fellow in Computational Biostatistics to contribute to AI-driven research in cancer care. The role involves statistical analysis and mentorship within a collaborative environment, offering a fixed-term contract until March 2027.

Qualifications

• Experience in developing statistical analysis pipelines.
• Working independently at all points of the data analysis workflow.
• Mentorship of statistical projects and support to non-computational colleagues.

Responsibilities

• Provide statistical analysis expertise to PharosAI's research objectives.
• Engage with partners to apply statistical and AI techniques.
• Design experiments and analyze complex data sets.

Skills

Statistical analysis expertise

Experience in AI & Machine Learning

Experience in Bayesian statistical analyses

Strong organisational skills

Ability to present data

Job description

Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 12 Jun 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 Senior Bioinformatician (Pharos AI) 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.

About PharosAI

PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI assets, technologies, and capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state-of-the-art AI tooling for use by pharma/biotech/life-sciences, AI-pharma, and AI developers of clinical applications, in enterprises, growth companies, and research organisations. PharosAI will also provide a “lend me an expert” concierge service, training and education in AI for clinicians, and an end-to-end product development and deployment service, helping cancer pathology services to be more easily deployed within the NHS. This will be facilitated by a best-in-class patient involvement and governance model, and fair value sharing for data providers.

PharosAI will revolutionise AI-powered cancer care, driving breakthrough therapies, clinical applications, addressing cancer’s social determinants, lowering barriers to UK SMEs, catalysing innovation and positioning the UK as a global leader in this dynamic ecosystem.

PharosAI is a joint venture between two leading research-intensive universities, King’s College London and Queen Mary University of London; and two innovative NHS Trusts, Guy’s and St Thomas’ NHS Foundation Trust and Barts Health Trust. PharosAI has been awarded £18.9M in funding from the Department for Science, Innovation, and Technology, and cash and in-kind contributions bringing the total funding to £44M.

About The Role

We are seeking a highly motivated and experienced Research Fellow in Computational Biostatistics with excellent technical skill and extensive experience analysing complex data sets in a translational research environment. You will apply your biostatistics skills to technology-driven research questions across the broad range of multimodal data with a focus on spatial transcriptomics, single cell and large-scale omics and support for imaging, including medical imaging and digital pathology, data using cutting-edge AI and machine learning approaches. The ideal candidate will play a critical role in integrating diverse data sources to uncover mechanistic insights and inform precision medicine strategies.

You will play a critical role in providing PharosAI with access to statistical expertise. You will work closely with the bioinformatics and clinical data teams to design experiments, explore and analyse complex data sets, formulate analysis strategies, implement statistical approaches, interpret and explain analysis results. You will build bespoke statistical analysis pipelines using the latest methods to help deliver results. Moreover, you bear responsibilities for developing the general level of statistical thinking across PharosAI activities.

This is a full-time and you will be offered a fixed term contract until 31 March 2027.

About You

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

• Provide statistical analysis expertise to achieve complex PharosAI’s research objectives.
• Experience in AI & Machine Learning and causal inference methodologies for robust and generalisable multimodal data analyses.
• Analyse data to interpret outcomes, predict trends, and inform decision-making across many disciplines.
• Experience in Bayesian statistical analyses approaches.
• Engage with industrial and academic partners to apply novel mathematical, statistical and machine learning and artificial intelligence techniques to relevant problems.
• Work independently at all points of the data analysis workflow.
• Experience of mentorship of statistical projects and providing statistical support to non-computational colleagues
• Experience of working in multi-disciplinary teams and the ability to present data to audiences of different disciplines
• Experience of working with industry and NHS
• 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.