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- Tasks: Lead innovative digital trials and shape the future of maternal and childhood health.
- Company: Join King’s College London, a top-tier university known for impactful research.
- Benefits: Enjoy a competitive salary, professional development, and a collaborative work environment.
- Why this job: Make a real difference in global health with cutting-edge AI and statistical methods.
- Qualifications: PhD in relevant fields and proven leadership in digital health research required.
- Other info: Be part of a diverse team driving groundbreaking research until 2029.
The predicted salary is between 48000 - 72000 ÂŁ per year.
About Us
The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women’s Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists.
About the role
King’s College London is an internationally renowned university delivering exceptional education and world‑leading research. We are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. EMBRACE is a visionary, multicomponent international research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers, 20,000 infants and up to 20,000 partners. It brings together world‑leading clinician scientists across six distinguished Healthcare organisations, world‑leading AI & technology companies, together with premier biotech companies, with the overarching aim to fast‑track major scientific breakthroughs, revolutionise maternal and early childhood health through precision‑personalised interventions, powered by a groundbreaking symbiosis of cutting‑edge AI combined with human support. It is led by Professor Josip Car.
The post of Inkfish Principal Statistician and Methodological Lead in Digital Trials on the EMBRACE study represents an exceptional opportunity for an internationally recognised expert in statistics with a strong track record in methodological leadership in digital trials to contribute to a globally pioneering programme focused on maternal and early childhood health. The post holder will serve as the Principal Statistician and Methodological Lead in Digital Trials for the EMBRACE programme, providing strategic direction and scientific leadership across the design, analysis, and interpretation of both observational and interventional studies, with a particular emphasis on digital and AI‑enabled trials. The post demands strong expertise in implementing methodological frameworks and in clinical epidemiology. A central responsibility will be to lead protocol design, develop methodological frameworks, and oversee statistical analyses, in alignment with regulatory, ethical, and governance frameworks relevant to digital health research and AI‑enabled studies (e.g. GDPR, GCP, and AI ethics). The post holder will direct core methodological workstreams within the EMBRACE consortium, and collaborate closely with global partners in academia, healthcare, and industry to drive innovation and maximise translational impact.
The post holder is required to hold a PhD degree in statistics, biostatistics, epidemiology, health data science, or other closely related disciplines. They will bring internationally recognised expertise in statistics and methodological leadership in digital trials, demonstrated by a strong record of publications and contributions to the design and delivery of complex, large‑scale clinical and population health studies. The post will directly lead and manage a team of Research Scientists, along with providing wider senior leadership and direction via matrix management within the study. The post is an academic appointment at professorial level with the focus of the post holder’s time being on the EMBRACE programme. The post holder’s performance will be reviewed in the context of the Faculty of Life Sciences & Medicine’s academic performance framework for education and research academic appointments. The post holder is expected to be able to evidence academic achievement in the form of peer reviewed research papers, sustained research funding and a strong national and international profile for their work. Experience of working collaboratively, developing staff and students, creating a positive research culture is required, along with working collaboratively with international partners. This is a full‑time post (35 hours per week), and you will be offered a fixed term contract until 31/08/2029.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
- 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
Further Information
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.
This post is subject to Disclosure and Barring Service and Occupational Health clearances.
Inkfish Principal Statistician and Methodological Lead in Digital Trials employer: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Inkfish Principal Statistician and Methodological Lead in Digital Trials
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of statistics and digital trials. 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
Show off your expertise! Prepare a portfolio showcasing your previous work, especially any innovative statistical methods or AI applications you've developed. This will not only highlight your skills but also demonstrate your passion for the field, making you stand out in interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses to common questions. Focus on articulating your experience in leading digital trials and your understanding of regulatory frameworks. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly via our platform. It’s a great way to ensure your CV and supporting statement are seen by the right people. Plus, it shows your enthusiasm for joining our innovative team at King’s College London!
We think you need these skills to ace Inkfish Principal Statistician and Methodological Lead in Digital Trials
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Principal Statistician. Highlight your relevant experience in statistics, digital trials, and any leadership roles you've held. We want to see how your background aligns with our innovative approach!
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Use it to detail how you meet the essential criteria listed in the job description. Be specific about your achievements and how they relate to the EMBRACE programme.
Showcase Your Publications: Don’t forget to include a list of your publications, especially those related to digital health and statistics. This will help us gauge your expertise and contributions to the field, so make it easy for us to see your impact!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to the right people and stands out in our system!
How to prepare for a job interview at Euraxess
✨Know Your Stuff
Make sure you’re well-versed in the latest statistical methods and digital trial methodologies. Brush up on your knowledge of AI-enabled studies and be ready to discuss how you've applied these in your previous work.
✨Showcase Your Leadership Skills
As a Principal Statistician, you'll need to demonstrate your leadership experience. Prepare examples of how you've led teams or projects, especially in collaborative settings. Highlight any mentoring roles you've taken on.
✨Understand the Ethical Landscape
Familiarise yourself with the regulatory and ethical frameworks relevant to digital health research, like GDPR and GCP. Be prepared to discuss how you’ve navigated these in past projects and how they impact your work.
✨Engage with the Research Community
Show your commitment to collaboration by discussing your experience with multi-site or international research programmes. Mention any partnerships you've built and how they contributed to successful outcomes in maternal and population health.
