Principal Statistician and Methodological Lead in Digital Trials

BioTalent Ltd
City of London
5 months ago
Applications closed

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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

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

We are looking for experienced and forward-thinking individuals with:

  • 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?

This is an exceptional opportunity to:

  • 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.


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