At a Glance
- Tasks: Lead statistical analysis for innovative digital health research and contribute to groundbreaking studies.
- Company: King's College London, a world-renowned university dedicated to positive societal change.
- Benefits: Full-time role with a competitive salary and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and excellent career advancement opportunities.
- Why this job: Join a pioneering programme revolutionising maternal and childhood health through AI and digital trials.
- Qualifications: PhD in relevant fields and experience in clinical or population health research required.
The predicted salary is between 55000 - 65000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over‑50s age inclusive jobs board.
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
- PhD in statistics, biostatistics, epidemiology, health data science, or other closely related disciplines
- Significant experience in leading statistical analysis for clinical or population health research, supporting the design of clinical trials and/or observational studies
- Experience working with complex health datasets, including longitudinal or high‑dimensional data, using statistical software such as R, Stata, SAS or Python
- Strong organisational and strategic planning skills
- Applied knowledge of GCP, research governance, and regulatory considerations relevant to clinical research
- Ability to communicate complex statistical concepts clearly to multidisciplinary teams
- A good publication record, with a national/international independent research profile and experience of securing external funding
- Experience of mentoring, student and postdoc supervision, independent delivery, stakeholder management, and ability to lead statistical workstreams
- Desirable criteria
- Experience in digital, decentralised or remote clinical trials
- Experience of early‑phase or adaptive trial designs, trial randomization, blinding, and data monitoring procedures
- Experience analysing wearable, sensor, app‑generated or real‑world data
- Experience in maternal, perinatal, digital health, or population health research
- Familiarity with regulatory submission requirements
This post is subject to Disclosure and Barring Service and Occupational Health clearances.
Inkfish Senior Biostatistician, Digital Trials in London employer: King’s College London
King's College London is an exceptional employer, offering a vibrant and inclusive work culture that fosters collaboration and innovation. As part of the EMBRACE programme, employees will have the unique opportunity to contribute to groundbreaking research in maternal and early childhood health, while benefiting from professional growth through mentorship and access to world-class resources across its two dynamic campuses. With a commitment to diversity and academic freedom, King's provides a supportive environment where every team member can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Inkfish Senior Biostatistician, Digital Trials in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the biostatistics and digital health fields. Attend relevant events or webinars, and don’t be shy about introducing yourself to potential colleagues at King's College London. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by brushing up on your statistical knowledge and methodologies relevant to digital trials. Be ready to discuss your experience with complex datasets and how you can contribute to the EMBRACE programme. Practice articulating your thoughts clearly, especially when explaining complex concepts.
✨Tip Number 3
Showcase your passion for innovation in clinical research! When you get the chance, share your ideas on how AI and digital tools can enhance maternal and early childhood health. This will demonstrate your enthusiasm for the role and align with the programme's goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our community at King's College London. Make sure to highlight your unique skills and experiences that fit the role perfectly!
We think you need these skills to ace Inkfish Senior Biostatistician, Digital Trials in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Biostatistician. Highlight your experience with complex health datasets and any relevant statistical software you've used. We want to see how your skills align with the EMBRACE programme!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about digital trials and how your background in biostatistics makes you a perfect fit for this role. Let us know what excites you about working with King's College London.
Showcase Your Publications:If you've got a good publication record, make sure to mention it! Highlight any research that relates to maternal or perinatal health, as well as your experience with digital health. This will help us see your impact in the field.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our community and values.
How to prepare for a job interview at King’s College London
✨Know Your Stats
Brush up on your statistical knowledge, especially in biostatistics and epidemiology. Be ready to discuss your experience with complex health datasets and how you've applied statistical software like R or Python in your previous roles.
✨Showcase Your Experience
Prepare specific examples of your past work leading statistical analyses for clinical trials or observational studies. Highlight any innovative approaches you've taken, particularly in digital or remote trial methodologies.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. Since you'll be working with multidisciplinary teams, being able to communicate effectively is key. Think of examples where you successfully conveyed your ideas to non-statistical colleagues.
✨Understand the EMBRACE Programme
Familiarise yourself with the EMBRACE programme and its goals. Knowing the specifics about the study's focus on maternal and early childhood health will help you align your answers with their mission and demonstrate your genuine interest in the role.
