Senior Director MMAI & Outcome Prediction – AI for Precision Health

About the role

Lead the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma.

Responsibilities

• Drive the development, reinforcement, and validation of multimodal predictive and diagnostic systems integrating radiology, digital pathology, multi-omics (genomics, transcriptomics, proteomics), molecular diagnostics, clinical trial datasets, real-world electronic health records and claims, and longitudinal patient signals including digital biomarkers.
• Translate multimodal intelligence into clinical development impact through trial enrichment, patient identification, endpoint optimisation, and deeper reanalysis of clinical trial data.
• Partner closely with internal AI research teams to translate advances in foundation models into practical biomedical applications.
• Design reinforcement strategies that leverage AstraZeneca’s clinical trial datasets, real-world healthcare data, and multimodal biological signals to improve model generalisability and predictive power.
• Develop reusable multimodal representations that capture disease biology across datasets and therapeutic areas, enabling scalable predictive modelling capabilities across the organisation.
• Establish predictive modelling frameworks that integrate clinical trial data with real-world evidence to extend insights beyond controlled trial environments.
• Enable post-launch monitoring of treatment outcomes and reinforcement of predictive models through real-world evidence, creating feedback loops that strengthen both development and care pathway strategies.
• Define enterprise standards for multimodal AI validation and governance, including reproducibility frameworks, cross-site generalisability testing, regulatory-grade evidence generation, bias mitigation strategies, and model performance monitoring in real-world clinical environments.
• Contribute to the development of AI for Transform Care team members, providing expert guidance on precision medicine strategies, companion diagnostics, and AI-embedded clinical decision tools.
• Build and sustain strong internal and external collaborations across Commercial, R&D, key markets, academic leaders, and patient communities to ensure prioritised needs are addressed with scientific excellence.

Qualifications

• Advanced degree (Master’s or PhD) in a relevant field such as Biomedical Engineering, Data Science, Computational Biology, Bioinformatics, Digital Health, or Artificial Intelligence.
• + 5 years proven experience leading or contributing to AI-enabled medical or biological projects, such as biomarker discovery, digital pathology, patient stratification, clinical decision support, or disease modeling.
• Recognized expertise in multimodal AI applied to Oncology and BioPharma, with demonstrated impact in outcome prediction, computational diagnostics, and disease modeling.

Skills

• Strong understanding of multimodal AI methodologies, including representation learning, outcome modelling, and survival analytics.
• Experience in translating advanced AI techniques into clinically actionable solutions for oncology and bio-pharmaceutical applications.
• Expertise in developing and validating multimodal predictive and diagnostic systems.
• Knowledge of regulatory guidelines and standards for AI in healthcare.
• Ability to collaborate effectively across multidisciplinary teams and contribute to strategic initiatives.

Benefits

• Competitive salary commensurate with experience and qualifications.
• Flexible working hours and remote work options.
• Access to cutting-edge technology and resources.
• Professional development opportunities and mentorship programs.
• Health and wellness benefits package.

Pay

Commensurate with experience and qualifications.

Schedule

Full-time, Monday to Friday.