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- Tasks: Lead innovative AI-driven digital health trials and shape global health research methodologies.
- Company: World-class research initiative focused on AI and digital health innovation.
- Benefits: Competitive salary, flexible hybrid working, and opportunities for impactful research.
- Why this job: Transform healthcare outcomes and redefine clinical trials with cutting-edge methodologies.
- Qualifications: PhD in relevant field and proven leadership in clinical trials and AI integration.
- Other info: Join a resource-rich environment dedicated to advancing precision medicine.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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.
Professor / Principal Statistician - Digital Health and AI Clinical Trials employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Professor / Principal Statistician - Digital Health and AI Clinical Trials
✨Tip Number 1
Network like a pro! Reach out to professionals in the digital health and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI and digital trial methodologies. Be ready to discuss your past experiences and how they relate to the role. We want to see your passion and vision!
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, send a polite email to express your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Showcase your leadership skills! Prepare examples of how you've mentored others or led projects in the past. This is key for a senior role like this one, and we want to see how you can inspire a team.
We think you need these skills to ace Professor / Principal Statistician - Digital Health and AI Clinical Trials
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the role of Principal Statistician. Highlight your leadership experience in clinical trials and any relevant publications to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about digital health and AI, and how your background makes you the perfect fit for this innovative role. We love seeing enthusiasm!
Showcase Your Methodological Expertise: Since this role involves cutting-edge methodologies, be sure to detail your experience with AI integration and statistical frameworks. We want to see how you can drive innovation in clinical trials!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at BioTalent
✨Know Your Methodologies
Make sure you brush up on the latest methodologies in digital health and AI-enabled trials. Be ready to discuss your experience with statistical frameworks and how you've applied them in real-world scenarios. This will show that you're not just familiar with theory but can also implement it effectively.
✨Showcase Your Leadership Skills
Since this is a senior role, be prepared to talk about your leadership experience. Share specific examples of how you've mentored teams or led interdisciplinary collaborations. Highlighting your ability to inspire and guide others will set you apart from other candidates.
✨Understand the Ethical Landscape
Familiarise yourself with the ethical and regulatory frameworks relevant to digital health and AI research, such as GDPR and GCP. During the interview, demonstrate your understanding of these standards and how they influence trial design and data governance.
✨Prepare for Collaborative Discussions
This role involves partnering with various experts across sectors. Think about how you can contribute to collaborative projects and be ready to discuss your experience working with diverse teams. Showing that you can communicate effectively and work well with others will be key.
