Professor / Principal Statistician – Digital Health and AI Clinical Trials

BioTalent
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Trials Coordinator

Principal Hardware Engineer

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

  • Director

Employment type

  • Full-time

Job function

  • Science, Education, and Health Care Provider

Industries

  • Hospitals and Health Care, Higher Education, and Research Services


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Medical Technology Tools Do You Need to Know to Get a Medical Technology Job?

If you’re pursuing a career in medical technology, it can feel like the toolkit is endlessly long: imaging systems, data analysis software, regulatory platforms, testing frameworks, prototyping tools, CAD, quality management systems, signal processing libraries and more. Scroll job boards or LinkedIn, and it’s easy to think you need to know every tool under the sun just to secure an interview. Here’s the honest truth most hiring managers won’t explicitly tell you: 👉 They don’t hire you because you know every tool — they hire you because you understand the underlying principles and can apply the right tool in the right context to solve real problems. Tools matter — absolutely — but they are secondary to problem-solving ability, clinical awareness, engineering rigour and the ability to deliver safe, reliable solutions. So how many medical technology tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think. This article explains what employers really want, which tools are core, which are role-specific, and how to focus your learning so you look confident, competent and end-game ready.

What Hiring Managers Look for First in Medical Technology Job Applications (UK Guide)

Medical technology (MedTech) is one of the most dynamic and high-impact sectors in the UK — spanning medical devices, diagnostics, digital health, AI-assisted systems, wearables, imaging, robotics and clinical software. At the same time, hiring managers are exceptionally selective because MedTech roles demand technical excellence, regulated safety awareness, clinical context and cross-disciplinary collaboration. Whether you’re applying for roles in R&D, engineering, quality & regulatory, clinical validation, product management or software development for medical systems, hiring managers don’t read every word of your CV. They scan it quickly — often deciding within the first 10–20 seconds whether to continue reading. This guide breaks down exactly what hiring managers look for first in medical technology applications — and how you can make your CV, portfolio and cover letter stand out in the UK market.

The Skills Gap in Medical Technology Jobs: What Universities Aren’t Teaching

Medical technology — also known as medtech — is transforming healthcare. Innovations in diagnostics, imaging, wearable sensors, robotics, telehealth, digital therapeutics and advanced prosthetics are improving outcomes and saving lives. As the UK’s National Health Service (NHS) modernises and a thriving life sciences sector expands, demand for medtech professionals is growing rapidly. Yet employers across the UK consistently report a frustrating problem: many graduates are not ready for real medtech jobs. Despite strong academic credentials, candidates often lack the practical, interdisciplinary skills needed to contribute effectively from day one. This is not a question of effort or intelligence. It is a widening skills gap between university education and the applied demands of medical technology roles. This article explores that gap in depth — what universities are teaching well, where programmes fall short, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build thriving careers in medical technology.