Location: | London |
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Salary: | Competitive Salary |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 1st July 2025 |
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Closes: | 9th July 2025 |
Job Ref: | 118508 |
Inkfish Principal Statistician and Methodological Lead in Digital Trials With the possibility of a concurrent appointment as a Professor of Digital Trials and AI Evaluation Methodology
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. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments.
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
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.
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