The Faculty of Life Sciences & Medicine at King’s College London, located in South East London, is offering a full-time, fixed-term position as a Research Fellow in Computational Biostatistics until March 2027. This role is part of PharosAI, a collaborative initiative with Queen Mary University and NHS Trusts focused on advancing AI-powered cancer research and treatment.
Role Responsibilities
- Analyze complex multimodal data, including spatial transcriptomics, single-cell data, and large-scale omics.
- Utilize advanced AI and machine learning techniques for data interpretation and insights.
- Design experiments and develop bespoke statistical pipelines tailored to research needs.
- Support precision medicine strategies to improve cancer therapies.
Candidate Requirements
Applicants must possess strong expertise in:
- AI and machine learning methodologies
- Bayesian statistics
- Causal inference techniques
- Ability to work independently and collaborate across multiple disciplines
Desirable skills and experiences include:
- Mentoring experience
- Collaboration with NHS or industry partners
Additional Information
PharosAI is supported by £44 million in funding aimed at innovating cancer therapies and translating research into clinical applications using an AI-driven platform. The position offers exciting opportunities to engage with both academic and industrial partners to drive forward cancer research.
Interested candidates should submit a CV along with a supporting statement demonstrating how they meet the essential and desirable criteria. For more details and to apply, please visit King’s College London’s official job page. Stay informed with the latest opportunities by following Job Stall Vacancies.