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Job id: 147685. Salary: £65,091 - £74,613 per annum, including London Weighting Allowance.

Posted: 27 May 2026. Closing date: 24 June 2026.

Business unit: Faculty of Life Sciences & Medicine. Department: Department of AI in Preventive Medicine.

Contact details: Professor Josip Car. josip.car@kcl.ac.uk

Location: Guy's Campus. Category: Research.

About Us

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. We are delighted to announce exciting new opportunities to join our community.

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.

About the role

The Inkfish Senior Biostatistician, Digital Trials is a Senior Research Fellow level position that provides senior statistical and methodological expertise to support the design, conduct, analysis and reporting of observational and interventional studies within the EMBRACE programme.

The post holder will contribute to innovative digital and AI-enabled clinical research, with a particular focus on decentralised and remote trial methodologies, analysis of complex longitudinal and multimodal datasets (including wearable and app-generated data), and development of robust statistical approaches appropriate to digital health research.

The role will work closely with clinical, data science, epidemiology and technology colleagues across the EMBRACE programme, contributing to protocol development, statistical analysis plans, regulatory submissions, publications, and the methodological advancement of the programme.

This is a full-time post (35 hours per week), and you will be offered a fixed term contract for 3 years.

The successful candidate will be required to work across two sites: Guys Campus and Denmark Hill.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience: 

Essential criteria

  1. PhD in statistics, biostatistics, epidemiology, health data science, or other closely related disciplines
  2. Significant experience in leading statistical analysis for clinical or population health research, supporting the design of clinical trials and/or observational studies
  3. Experience working with complex health datasets, including longitudinal or high-dimensional data, using statistical software such as R, Stata, SAS or Python
  4. Strong organisational and strategic planning skills
  5. Applied knowledge of GCP, research governance, and regulatory considerations relevant to clinical research
  6. Ability to communicate complex statistical concepts clearly to multidisciplinary teams
  7. A good publication record, with a national/ international independent research profile and experience of securing external funding
  8. Experience of mentoring, student and postdoc supervision, independent delivery, stakeholder management, and ability to lead statistical workstreams

Desirable criteria

  1. Experience in digital, decentralised or remote clinical trials
  2. Experience of early-phase or adaptive trial designs, trial randomization, blinding, and data monitoring procedures
  3. Experience analysing wearable, sensor, app-generated or real-world data
  4. Experience in maternal, perinatal, digital health, or population health research
  5. Familiarity with regulatory submission requirements

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university.

The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension.

We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination.

When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.

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 person specification section of the job description. 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.

Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research the role or structure written responses. However, applications must reflect the applicant’s own work and experience. AI tools should not be used during interviews or assessment activities unless this has been agreed in advance as a reasonable adjustment. Further guidance on the use of AI in recruitment can be found here.

We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day.

We encourage you to apply at the earliest opportunity to avoid disappointment as once we have closed a vacancy you will be unable to submit your application.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

This post is subject to Disclosure and Barring Service and Occupational Health clearances.