Senior Biostatistician, Digital Trials - Strand, London, WC2R 2LS

Senior Biostatistician, Digital Trials - Strand, London, WC2R 2LS

About us

Kings 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 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 an fixed term contract until 01/11/2029.

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.