At a Glance
- Tasks: Lead innovative digital trials and shape methodologies for impactful research.
- Company: Globally recognised academic research programme at the forefront of AI and clinical innovation.
- Benefits: Long-term contract with renewal potential, access to ambitious datasets, and career growth opportunities.
- Other info: Hybrid work model with a dynamic, collaborative environment.
- Why this job: Influence real-world trial designs and make a difference in global health.
- Qualifications: PhD in relevant fields and strong experience in clinical study design.
The predicted salary is between 70000 - 90000 £ per year.
Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London)
Contract: 3-year academic contract with renewal
BioTalent has partnered with a globally recognised academic research programme to appoint a Principal / Senior Statistician into a large-scale, multi-country initiative at the forefront of digital trials, AI, and clinical research innovation. This is a leadership role focused on shaping how next-generation trials are designed and delivered. You will not be stepping into a traditional academic post. This is about real-world impact, influencing programme direction, and setting methodological standards across a global consortium.
Opportunity
You will take ownership of methodological strategy across a £35M research programme spanning 60,000 participants across multiple countries, focused on maternal and early childhood health. Working directly with senior clinical and scientific leadership, you will help define how statistical, epidemiological, and machine learning approaches are applied to complex, real-world datasets and digital trial environments. This is a rare opportunity to influence how decentralised and AI-enabled trials are built at scale.
What You’ll Be Doing
- Set the methodological direction for observational and interventional digital trials
- Lead study design, including decentralised and AI-enabled trial frameworks
- Drive innovation across biostatistics, epidemiology, and machine learning
- Act as a senior advisor across a global, multi-partner research consortium
- Oversee development and validation of digital health and AI-based interventions
- Ensure alignment with regulatory, ethical, and governance frameworks such as GDPR and GCP
- Lead and mentor researchers, building capability across statistical and computational methods
- Contribute to high-impact publications, grant funding, and external visibility
- Influence best practice and standards in digital and AI-enabled clinical research
- Represent the programme externally across international forums
What They’re Looking For
- PhD in Biostatistics, Epidemiology, Bioinformatics, Computational Biology or similar
- Strong experience designing or leading clinical or observational studies
- Proven ability to operate at a strategic and methodological level
- Strong programming capability in R and/or Python
- Experience working with large-scale clinical, biological, or digital health datasets
- Confidence influencing senior stakeholders across academic, clinical, and technical teams
Nice to have:
- Experience with decentralised or digital trials
- Exposure to machine learning methods in healthcare
- Background in multi-partner or international research programmes
Why This Role
- Genuine influence over study design and programme direction, not just analysis delivery
- Work at the intersection of clinical research, AI, and global health
- Access to one of the most ambitious digital trial datasets in academia
- Long-term opportunity, structured as a 3-year academic contract with strong renewal expectation and clear pathways into extended or permanent roles
If you’re looking for a role where you can shape how trials are run, not just analyse them, this is worth a conversation.
Chief Statistician – Digital Trials & AI Methodology employer: BioTalent
At BioTalent, we pride ourselves on being an exceptional employer, offering a unique opportunity to lead innovative research at the intersection of digital trials and AI methodology. Our collaborative work culture fosters professional growth, with access to cutting-edge resources and a commitment to impactful research that influences global health outcomes. Located in the vibrant area of London Bridge, our hybrid working model ensures flexibility while maintaining a strong team presence, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Chief Statistician – Digital Trials & AI Methodology
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of digital trials and AI methodology. Attend relevant conferences or webinars, and don’t be shy about introducing yourself. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of biostatistics and machine learning. We recommend practising common interview questions and even doing mock interviews with friends or colleagues. The more comfortable you are, the better you’ll perform!
✨Tip Number 3
Showcase your leadership skills! When discussing your experience, highlight instances where you’ve influenced study design or mentored others. We want to see how you can take charge and drive innovation in a team setting.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive and engaged in the process.
We think you need these skills to ace Chief Statistician – Digital Trials & AI Methodology
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Chief Statistician role. Highlight your experience in biostatistics, epidemiology, and any leadership roles you've held. We want to see how you can influence study design and methodology!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about digital trials and AI methodology. Share specific examples of how you've driven innovation in past roles. Remember, we’re looking for someone who can make a real-world impact!
Showcase Your Programming Skills:Since strong programming capability in R and/or Python is key for this role, don’t forget to mention your proficiency in these languages. If you’ve worked with large-scale datasets, give us the details! We want to know how you can apply these skills to complex data environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at BioTalent
✨Know Your Methodology
Make sure you’re well-versed in the latest statistical methods and AI applications relevant to digital trials. Brush up on your knowledge of biostatistics, epidemiology, and machine learning techniques, as these will be crucial in demonstrating your expertise during the interview.
✨Showcase Your Leadership Skills
This role is all about influencing and mentoring others. Prepare examples of how you've led teams or projects in the past, especially in multi-partner environments. Highlight your ability to drive innovation and set methodological standards, as this will resonate with the interviewers.
✨Understand the Bigger Picture
Familiarise yourself with the current trends in digital health and AI-enabled trials. Be ready to discuss how these innovations can impact maternal and early childhood health. Showing that you understand the real-world implications of your work will set you apart from other candidates.
✨Prepare for Stakeholder Engagement
Since you'll be working with senior clinical and scientific leadership, think about how you can effectively communicate complex statistical concepts to non-experts. Practice articulating your ideas clearly and confidently, as this will be key in influencing stakeholders across various teams.
