At a Glance
- Tasks: Lead innovative statistical methods in digital trials and health studies.
- Company: Join a diverse and inclusive team at King’s, committed to impactful research.
- Benefits: Competitive salary, supportive environment, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare with cutting-edge AI and digital health research.
- Qualifications: PhD in relevant fields and proven leadership in statistical methodologies.
- Other info: Collaborate internationally and mentor diverse research teams.
The predicted salary is between 36000 - 60000 £ per year.
To be successful in this role, we are looking for candidates to have the following skills and experience:
- Essential Criteria
- PhD in statistics, biostatistics, epidemiology, health data science, or other closely related disciplines
- Proven internationally recognised leadership in the development and implementation of innovative statistical and methodological approaches, particularly in design and conduct of AI-enabled or digital trials within large-scale observational and interventional population health studies
- Extensive experience in clinical epidemiology, with a strong track record of applying epidemiological principles to real-world healthcare data and study design
- Strong publication record in high-quality peer-reviewed journals, relevant to digital health, statistics, clinical trials, and epidemiology
- Success in securing substantial competitive research funding, with experience in leading or contributing to core methodological components of major grant proposals
- Familiarity with regulatory, ethical, and governance frameworks relevant to digital health research and AI-enabled studies (e.g. GDPR, GCP, and AI ethics)
- Excellent leadership, mentoring, and communication skills, with the ability to mentor diverse research teams and engage effectively across academic, clinical, and industry sectors
- Experience contributing to multi-site or international collaborative research programmes, particularly in maternal, perinatal, or population health
- Experience applying machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies
- Expertise in analysing complex digital health data, including wearable sensor data, mobile health survey, and electronic health records
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King’s.
As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers will review your application, please take a look at our How we Recruit page. Interviews are due to be held in early February (TBC). This post is subject to Disclosure and Barring Service and Occupational Health clearances.
Inkfish Principal Statistician and Methodological Lead in Digital Trials in London employer: King's College London
Contact Detail:
King's College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Inkfish Principal Statistician and Methodological Lead in Digital Trials in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of statistics and digital health. Attend relevant conferences or webinars, and don’t be shy about introducing yourself to potential collaborators or employers. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a personal website or an online portfolio that highlights your research, publications, and any innovative projects you've led. This is a great way to demonstrate your leadership and methodological skills in a visually appealing way.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI-enabled trials and digital health regulations. Be ready to discuss how your experience aligns with the role's requirements. Practise common interview questions and think about how you can showcase your leadership and mentoring abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our inclusive community at StudySmarter. Let’s get you that dream job!
We think you need these skills to ace Inkfish Principal Statistician and Methodological Lead in Digital Trials in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your PhD and relevant experience in statistics, biostatistics, or health data science. We want to see how your background aligns with the role, so don’t hold back on showcasing your leadership in digital trials!
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Use it to detail how you meet the essential criteria, especially your experience with AI-enabled studies and your publication record. We love seeing specific examples that demonstrate your expertise.
Showcase Your Collaborative Spirit: If you've worked on multi-site or international research programmes, make sure to mention it! We value collaboration, so share any experiences that highlight your ability to engage with diverse teams across academic and clinical sectors.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at King's College London
✨Know Your Stuff
Make sure you’re well-versed in the latest statistical methods and AI applications in digital trials. Brush up on your PhD research and be ready to discuss how it relates to real-world healthcare data.
✨Showcase Your Leadership
Prepare examples that highlight your leadership experience, especially in collaborative research settings. Think about times you've mentored teams or led projects, and be ready to share these stories.
✨Understand the Frameworks
Familiarise yourself with the regulatory and ethical guidelines relevant to digital health research. Be prepared to discuss how you’ve navigated these frameworks in past projects, particularly GDPR and GCP.
✨Tailor Your Application
When submitting your CV and supporting statement, make sure to align your experiences with both the essential and desirable criteria. Highlight any relevant publications and funding successes to stand out from the crowd.