We are partnering with a leading global biopharmaceutical organisation committed to developing life-changing medicines for patients with serious diseases. Their mission is to innovate through science, delivering solutions where limited or no therapeutic options exist. With a diverse portfolio spanning neuroscience, oncology, and rare disease, this organisation combines a patient-first approach with cutting-edge research and development.

This role will offer you:

• The opportunity to lead the design and delivery of transformative AI/ML/Generative AI solutions in clinical trial execution and digital healthcare
• A collaborative, cross-functional environment, engaging with teams across R&D, data science, clinical operations, and medical affairs
• The chance to work on innovative applications such as automated documentation generation, predictive modelling, and real-world evidence collection
• Exposure to global projects, external partnerships, and leading AI technology providers
• A remote-friendly and flexible work environment with strong career development support

You will be responsible for:

• Leading the development and implementation of AI/ML/GenAI solutions to optimise clinical trial operations, including patient recruitment, retention, real-time monitoring, and automated data collection
• Creating AI-driven tools for automated generation of clinical documentation such as medical reports, protocols, study reports, and patient narratives
• Designing predictive and generative AI models using diverse healthcare data sources, including clinical trials, EHR, wearables, patient-reported outcomes, HEOR data, and Phase IV studies
• Driving innovation in digital healthcare, including patient engagement platforms and new ways to generate real-world evidence
• Collaborating with internal teams and external stakeholders (healthcare providers, regulators, AI tech partners) to ensure alignment and compliance with data privacy and regulatory standards
• Staying up-to-date with emerging AI/ML technologies and methodologies, promoting knowledge-sharing across the organisation

You will bring:

• An advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or a related field
• 7–10 years of relevant professional experience, with at least 3 years applying AI/ML techniques in healthcare or clinical research
• Strong programming skills in Python, R, or similar languages, and experience with ML frameworks such as PyTorch or TensorFlow
• Hands-on experience with generative AI, LLM architectures, NLP, and medical text analysis/generation
• Familiarity with AWS cloud platforms, MLOps, and version control tools
• Proven ability to work cross-functionally, adapt to changing organisational goals, and build relationships with diverse stakeholders
• Experience in digital healthcare tool design and development (preferred)
• Professional fluency in English