Professor / Principal Statistician – Digital Health and AI Clinical Trials

Position : Principal Statistician and Methodological Lead – Digital Health and AI Clinical Trials Location : London, UK (with flexible hybrid working options) Contract : Full-time, permanent, competitive salary. Please note: Only applicants with a PhD and leadership experience in clinical trials, digital trial design, and academic publication (Professor or Lecturer level) will be considered. The Opportunity We are seeking a Principal Statistician and Methodological Lead to drive innovation at the forefront of AI-enabled digital clinical trials. This high-impact role offers a unique opportunity to shape methodological strategies for some of the most ambitious global health research initiatives ever undertaken. You will play a pivotal role in leading the design, analysis, and integration of cutting-edge methodologies across AI, biostatistics, and clinical epidemiology, with a focus on transforming health outcomes through advanced digital trial frameworks. Partnering with leading experts from academia, healthcare, and technology sectors, you’ll help redefine how clinical trials are conducted on a global scale. About the Role This is a senior leadership position that combines visionary methodology development with hands-on trial design and analysis for decentralised and remote clinical studies. With a focus on leveraging AI and machine learning alongside classical statistical approaches, you’ll help overcome the challenges of real-world data collection, participant adherence, and global trial scalability. As the methodological lead, you will: Define and lead the statistical and data science frameworks for large-scale observational and interventional clinical studies. Develop and implement strategies for AI-integrated, decentralised trial models that meet the highest ethical, regulatory, and data governance standards. Collaborate with international academic, clinical, and industry partners to create impactful, translational health interventions. Mentor rising researchers and statistical experts, building capacity in advanced methodologies across a global interdisciplinary team. Publish high-impact research and contribute to best-practice guidelines and policy development, establishing international benchmarks in digital and AI-enabled trials. What You’ll Bring A PhD in statistics, biostatistics, epidemiology, health data science, or a related discipline. Internationally recognised expertise in developing methodologies for digital health, AI-enabled trials, or related fields. Experience leading large-scale observational or interventional health studies, ideally with an emphasis on machine learning or AI integration. A strong record of impactful peer-reviewed publications and research funding success. Proven leadership and mentoring capabilities, with experience managing statistical teams or interdisciplinary collaborations. Familiarity with regulatory and ethical frameworks governing digital health and AI research, such as GDPR, GCP, and AI ethics. Expertise working with complex health datasets, such as mobile health apps, wearables, or electronic health records (EHR). Why Consider This Role? Take a leadership role in a world-class research initiative focused on AI and digital health innovation. Shape the future of global healthcare through novel methodologies in decentralised clinical trials. Partner with leading experts across health, technology, and academia. Play a pivotal role in transforming health outcomes for underserved populations, with a focus on advancing precision medicine and digital health interventions. You’ll be stepping into a resource-rich environment backed by long-term funding and committed to delivering breakthroughs in personalised healthcare. Make a Lasting Impact Today This role offers you the chance to influence global healthcare standards while working at the frontier of AI-enabled clinical research. If you want to lead transformative work that shapes the future of medicine, apply now .

Location: London, UK, GB

Posted Date: 11/5/2025