Overview
Senior Research Fellow (early-phase trials) – Strand, London, WC2R 2LS
About us:
This post is one of several new appointments in the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create an innovative alliance between people with mental health conditions – whose views are often not prioritised – and industry – who face unparalleled challenges in mental health R&D – to accelerate precision psychiatry and deliver valuable new treatments that work for those who need them.
The MHG Innovative Trials Hub within DIGIT is a cross-cutting translational platform that accelerates the evaluation and adoption of innovations through modern trial design, integrated delivery infrastructure, portfolio governance, and partnerships across industry, academia and the NHS.
The post is based in the Department of Biostatistics and Health Informatics in the School of Mental Health and Psychological Sciences at the Institute of Psychiatry, Psychology and Neuroscience. The Department has been a major force in the development of quantitative methodology as applied to mental health research. We have significant national and international collaborations, and our research has growing impact into all areas of medicine particularly through expertise in trials and software development.
The appointee will work the King’s Clinical Trials Unit (KCTU), the UKCRC registered CTU within King’s College London and Partner Trusts in King’s Health Partners. KCTU supports trials in all disease areas with specialist strength in mental health, neuroscience, rheumatology, transplantation and ophthalmology.
About the role:
We are seeking an outstanding Senior Research Fellow in early-phase trials to provide statistical and methodological leadership for the Mental Health Goals Programme’s Innovative Trials Hub, within the Data & Digital Alliance Team.
Reporting to Professor Richard Emsley, lead for the Innovative Trials Hub, the post holder will work closely with industry partners, academic collaborators and NHS stakeholders in the Mental Health Goals Programme to design and support early-phase studies. This will include contributing to trial design, protocol development, statistical analysis plans, regulatory interactions, funding applications, commercial proposals and dissemination of findings.
The role will focus on early-phase clinical trial methodology, including support for studies of new compounds and digital therapeutics using designs such as PK/PD studies, Bayesian model-based dose-finding approaches, adaptive designs and master protocols, including basket and umbrella trials.
You will be expected to build productive collaborations across academia, industry and the NHS, contribute to strategic portfolio development, and support education, mentoring and capacity development within Biostatistics and Health Informatics. This is an opportunity for an experienced clinical trials statistician or methodologist to shape the delivery of innovative mental health trials, influence national and international practice, and contribute to a major programme with clear potential for patient benefit and health system impact.
This is a full time post (35 hours per week), and you will be offered a fixed term contract until 30th March 2029 in the first instance.
Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.
IMPORTANT: Before applying for this role, please make sure you have the right to work in the country where the role is based. Unless it clearly stipulates within in the job advert above that the hiring company is looking to or able to sponsor applicants it is deemed that the hiring employer will only consider applications from those able to comply with and work in the country where the role is based.













