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