Overview
Position: Principal Statistician and Methodological Lead – Digital Health and AI Clinical Trials
Location: London, UK (with flexible hybrid working options)
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.
Seniority level
Employment type
Job function
- Science, Education, and Health Care Provider
Industries
- Hospitals and Health Care, Higher Education, and Research Services
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