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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 trial methodologies required.
- Other info: Be part of a diverse team driving groundbreaking research until 2029.
The predicted salary is between 36000 - 60000 Ā£ 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's 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 worldāleading 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 Ā£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 worldāleading clinician scientists across six distinguished Healthcare organisations, worldāleading AI & technology companies, together with premier biotech companies, with the overarching aim to fastātrack major scientific breakthroughs, revolutionise maternal and early childhood health through precisionāpersonalised interventions, powered by a groundbreaking symbiosis of cuttingāedge 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 AIāenabled 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 AIāenabled 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, largeāscale 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 fullātime 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 AIāenabled or digital trials within largeāscale observational and interventional population health studies
- Extensive experience in clinical epidemiology, with a strong track record of applying epidemiological principles to realāworld healthcare data and study design
- Strong publication record in highāquality peerāreviewed 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 AIāenabled 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 multiāsite 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 realāworld 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.
To find out how our managers will review your application, please take a look at our 'How we Recruit' pages. 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: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Inkfish Principal Statistician and Methodological Lead in Digital Trials in London
āØTip 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 donāt be shy about introducing yourself to potential collaborators or employers. You never know who might have the inside scoop on job openings!
āØTip Number 2
Show off your expertise! Prepare a portfolio showcasing your previous work, especially any innovative statistical methods or AI-enabled trials you've led. This will not only highlight your skills but also demonstrate your passion for the field when you meet potential employers.
āØTip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions related to your experience in clinical epidemiology and digital health research. Consider doing mock interviews with friends or mentors to boost your confidence.
āØTip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. Itās a great way to ensure your CV gets seen by the right people, and you can easily keep track of your applications. Plus, it shows youāre serious about joining our team!
We think you need these skills to ace Inkfish Principal Statistician and Methodological Lead in Digital Trials in London
Some tips for your application š«”
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 the EMBRACE programme!
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 role. We love seeing clear examples of your work!
Showcase Your Publications: If you've got a strong publication record, make sure to highlight it! Include details of your most relevant papers, especially those related to digital health and AI. This will help us see your expertise in action.
Apply Through Our Website: Don't forget to apply through our website! Itās the best way to ensure your application gets to us directly. Plus, it helps us keep track of all the amazing candidates like you who are interested in joining our team.
How to prepare for a job interview at Euraxess
āØKnow Your Stuff
Make sure you brush up on your statistics and methodological frameworks, especially those related to digital trials. Be ready to discuss your previous work in clinical epidemiology and how it aligns with the EMBRACE programme's goals.
āØShowcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past. Highlight your experience in mentoring diverse research teams and how you've contributed to collaborative research programmes, particularly in maternal and population health.
āØUnderstand the Ethical Landscape
Familiarise yourself with the regulatory, ethical, and governance frameworks relevant to digital health research, such as GDPR and AI ethics. Be prepared to discuss how you would ensure compliance in your role as Principal Statistician.
āØEngage with the Interviewers
Interviews are a two-way street! Prepare thoughtful questions about the EMBRACE programme and its impact on maternal and early childhood health. This shows your genuine interest and helps you assess if the role is the right fit for you.
