Research Fellow In Multimodal AI for Cancer Risk Prediction BJ)

## Career Opportunity: Research Fellow - Cancer Data-Driven Detection (CD3) Programme

Are you a highly motivated and skilled researcher passionate about leveraging data to make a significant impact on public health? The Cancer Data-Driven Detection (CD3) programme presents a compelling opportunity to join a groundbreaking, national strategic research initiative dedicated to transforming our understanding of cancer risk and enabling early interception.

This is a flagship, multi-million-pound investment, funded by leading organizations including Cancer Research UK, the National Institute for Health and Care Research (NIHR), the Engineering and Physical Sciences Research Council (EPSRC), and the Peter Sowerby Foundation, in partnership with Health Data Research UK (HDR UK) and the Economic and Social Research Council’s Administrative Data Research UK programme (ADR UK). This collaboration signifies the national importance and ambitious scope of the CD3 programme.

What You'll Do:

As a Research Fellow within the advanced analytics workstream, you will be instrumental in developing next-generation cancer risk models. This role offers the unique chance to:

• Integrate Diverse Datasets: Work with electronic health records, administrative datasets, and cutting-edge multi-omic measurements.
• Build and Test Predictive Tools: Develop and validate machine-learning-based multimodal risk prediction tools.
• Explore Data-Driven Insights: Investigate how various data types and AI-derived features contribute to cancer risk, uncovering robust and clinically meaningful signals.
• Shape Analytical Methods: Influence core analytical approaches used across the entire CD3 programme.
• Collaborate for Real-World Impact: Partner closely with a multidisciplinary team to ensure models are transparent, reliable, and suitable for practical clinical application.

Advantages for Your Career Path:

This position offers significant advantages for ambitious researchers looking to advance their careers in a high-impact field:

• Pioneering Research: Be at the forefront of one of the UK's largest coordinated efforts to revolutionize early cancer detection through data science and AI.
• Multidisciplinary Exposure: Gain invaluable experience working with experts from diverse fields and institutions, fostering a rich learning environment.
• Skill Development: Hone your expertise in advanced analytics, machine learning, and the integration of complex, population-scale multimodal datasets.
• Strategic Influence: Contribute to shaping the direction of a major national research programme and its analytical methodologies.
• Academic and Research Growth: The role is ideal for individuals seeking to build a strong publication record and establish themselves as leaders in the field of cancer data science.

Key Considerations for Candidates:

To thrive in this role, candidates should possess:

• A Strong Quantitative Foundation: A solid background in quantitative methods is essential.
• Passion for Public Health: A genuine interest in applying data-driven and AI methods to address critical public health challenges.
• Data Handling Proficiency: Confidence in working with large and varied health and omic datasets.
• Analytical Aptitude: An enjoyment of developing and testing new analytical approaches.
• Machine Learning Experience: Prior experience in machine learning and combining different data types is highly desirable.
• Collaborative Spirit: The ability to think clearly, learn new methods, and work effectively with colleagues from various disciplines and institutions.

This 3-year fixed-term position is based in Southampton, offering opportunities for co-mentoring and close collaboration across multiple institutions. Part-time appointments (up to 80%) will be considered. Beyond the exciting research, you will benefit from a generous holiday allowance, additional university closure days, flexible working hours to support work-life balance, access to the Universities Superannuation Scheme (USS), subsidized health and fitness facilities, and a range of discounts.

This is an exceptional opportunity to contribute to a vital national cause and significantly advance your career in data-driven cancer research.