Research Fellow - Cancer and Genomic Sciences Grade 7

Position: Research Fellow - Cancer and Genomic Sciences - 108295 - Grade 7
Position Details

Cancer and Genomic Sciences, School of Medical Sciences

Job Description Position Details

Cancer and Genomic Sciences, School of Medical Sciences

Full-time starting salary is normally in the range £37,369.00 to £46,970, with potential progression once in post to £49,798

Grade 7

Full Time, Fixed Term contract up to November 2027

Closing date: 12 November 2026

Background

We are seeking an enthusiastic and innovative Research Fellow to join the Centre for Environmental Research and Justice (CERJ) and the Centre for Health Data Science at the Medical School University of Birmingham. You will be working in a vibrant, interdisciplinary research ecosystem, driving cutting‑edge research at the intersection of human health and health data Science. This exciting role offers the opportunity to contribute to major EU‑funded research programmes, including PARC (Partnership for the Assessment of Risks from Chemicals).

The successful applicant will contribute to several clinical and biomedical projects and will be apply and develop novel machine learning and statistical models that allow for prognosticating disease evolution, treatment outcome, and resistance. The post holder will analyse data from a variety of clinical and medical data sources including structured and unstructured and/or sequential data, like images, text, and time series.

An excellent network of biomedical and technological collaborations, as well as opportunities for discovery validation and translation into clinic or pharma by domain experts. The successful candidate will actively promote FAIR data practices and will have opportunities to contribute to teaching, training, and wider community engagement. The duration for the post will be 2 years offering a considerable scope for innovation and academic development.

Role

Summary

• Develop agentic AI systems to coordinate workflows and computational tools according to different clinical needs, patient presentations, and care pathways.
• Deploy and operate large models (LLMs/VLMs) and other foundation models in local or on‑premises computing environments to support data security and patient confidentiality.
• Develop knowledge bases that capture clinical guidelines and domain knowledge to extend the capabilities of general‑purpose large models for clinical applications.
• Develop retrieval‑augmented generation (RAG) pipelines and agentic AI systems for clinical knowledge retrieval, reasoning, and decision support.
• Develop and evaluate cutting‑edge AI approaches (e.g., multimodal and multi‑agent techniques) for medical applications.
• Curate, integrate, preprocess, and analyse biological and medical data sets from a variety of modalities and data origins and apply cutting edge semantic technologies for their integration.
• Manipulate, integrate, and analyse small and large clinical and biomedical databases.
• Communicate research results through conference presentations, scientific publications, or project reports.
• Analyse and interpret research findings and results
• Contribute to generating funding
• Work within specified research grants and projects and contribute to writing bids
• Operate within area of specialism
• Contribute to licensing or spin‑out deals with demonstrated commercial success (such as revenues, asset or company sales, IP generated) and/or public understanding of the discipline or similar.

Main Duties

The responsibilities may include some, but not all of the responsibilities outlined below.

• Contribute to developing new models, techniques and methods
• Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews
• Present research outputs, including drafting academic publications or parts thereof, for…