Director, Integrative Sciences

We are seeking a visionary leader to join our Oncology Translational Medicine Integrative Sciences team as the Director of Integrative Sciences.

This role will focus on driving innovation in diagnostic technology platforms, leveraging cutting-edge approaches such as oncology foundational models, real world data, multi-modal omics data, AI/ML, computational pathology, and biomarker discovery to transform how we understand and treat cancer.

The successful candidate will play a pivotal role in shaping biomarker, diagnostic, and clinical development strategies, particularly in the context of antibody-drug conjugates (ADCs), T cell engagers and other advanced therapeutic modalities, while maintaining responsibilities for analyzing clinical trial biomarker data to enable translational medicine approaches.

Key Responsibilities

• Lead innovation in emerging diagnostic technologies, including ctDNA, computational pathology, advanced imaging techniques, and multi-modal biomarker platforms, to enhance patient stratification, therapeutic targeting, and mechanism-of-action insights.
• Develop and apply oncology foundational models and AI/ML analytical approaches to complex clinical, real-world and biomarker datasets, including high-dimensional data such as single-cell transcriptomics, spatial omics, proteomics, and cfDNA.
• Serve as a subject matter expert in application of analytical methods and emerging diagnostic technologies to enable biomarker discovery and diagnostic strategies to optimize patient selection, dose determination, and combination therapy approaches with a focus on antibody-drug conjugates (ADCs).
• Oversee the integration of oncology foundational models to inform translational medicine and clinical development strategies ensuring robust interpretation, practical implementation and timely communication across matrix teams.
• Collaborate with cross-functional teams, clinical development, CPMS (Clinical Pharmacology and Modelling Simulation), Diagnostic, Translational Research, and AI/ML teams, to evaluate and apply complementary data analytics approaches for meaningful insights into complex biology.
• Lead efforts to identify, evaluate, and implement emerging technology platforms to advance diagnostic innovation and support pipeline growth.
• Provide leadership and accountability for clear and timely communication of data analysis outputs, complex analytical principles, and models to diverse stakeholders, including senior leaders and non-technical partners.
• Champion the integration of biomarker and diagnostic strategies into clinical development plans, ensuring alignment with oncology research unit and translational medicine objectives
• Drive the application of computational pathology and AI-driven image analysis to enhance diagnostic capabilities and biomarker discovery in oncology programs.
• Support the evaluation of academic partnerships and external technology platforms, ensuring alignment with Oncology Translational Medicine goals and innovation priorities.
• Contribute to due diligence efforts for business development opportunities, leveraging expertise in advanced analytics and emerging diagnostic technologies.

Basic Qualifications & Skills:

• PhD degree or equivalent experience/training in computational biology, bioinformatics, machine learning, computational pathology, or a related field.
• 7+ years of applied experience in Pharma/Biotech or an academic setting, with a focus on oncology research, diagnostic innovation, and biomarker analysis.
• Demonstrated ability to lead and influence cross-functional teams in a matrix environment, driving alignment and delivering impactful outcomes.
• Experience with emerging diagnostic platforms and technologies, including their application to translational medicine and clinical development.
• Demonstrated advanced knowledge of statistical and analytical methods relevant to the analysis of complex high-dimensional heterogeneous datasets.
• Experience with GitHub, development of R Shiny applications/R markdown, and working in cloud or high-performance computing (HPC) environments.

Benefits:

• Competitive salary
• Annual bonus based on company performance
• Healthcare and wellbeing programmes
• Pension plan membership
• Shares and savings programme
• Hybrid working model