At a Glance
- Tasks: Lead statistical analysis for innovative digital health research and support clinical trial design.
- Company: King's College London, a world-renowned university driving positive change.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a commitment to diversity and inclusion.
- Why this job: Join a groundbreaking programme revolutionising maternal and childhood health with cutting-edge AI technology.
- Qualifications: PhD in relevant fields and significant experience in clinical or population health research.
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
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. This post is subject to Disclosure and Barring Service and Occupational Health clearances.
Inkfish Senior Biostatistician, Digital Trials 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 engage in groundbreaking research that aims to revolutionise maternal and early childhood health, with ample opportunities for professional growth and development in a supportive environment. Located in the heart of London, staff benefit from access to world-class resources and a diverse community dedicated to making a positive impact on society.
StudySmarter Expert Advice🤫
We think this is how you could land Inkfish Senior Biostatistician, Digital Trials
✨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. Be ready to discuss your experience with complex datasets and how you've tackled challenges in previous roles. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 3
Showcase your passion for digital trials and AI in healthcare during interviews. Share specific examples of how your work has contributed to innovative research. This will demonstrate that you’re not just qualified, but genuinely excited about the role and its impact on maternal and early childhood health.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the King's community and contributing to groundbreaking research like the EMBRACE programme.
We think you need these skills to ace Inkfish Senior Biostatistician, Digital Trials
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Biostatistician. Highlight your experience with statistical analysis, especially in clinical or population health research, and don’t forget to mention any relevant software skills like R or Python.
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 aligns with the EMBRACE programme's goals. Keep it engaging and personal!
Showcase Your Publications:If you have a good publication record, make sure to include it! Highlight any relevant research that showcases your expertise in biostatistics and your ability to communicate complex concepts clearly.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves, so don’t miss out!
How to prepare for a job interview at King’s College London
✨Know Your Stats Inside Out
As a Senior Biostatistician, you'll need to demonstrate your expertise in statistical analysis. Brush up on your knowledge of R, Stata, SAS, or Python, and be ready to discuss how you've applied these tools in previous projects. Prepare examples that showcase your experience with complex health datasets and how you’ve contributed to clinical trials.
✨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. Be prepared to discuss how your skills can contribute to innovative digital and AI-enabled clinical research.
✨Communicate Clearly
You’ll be working with multidisciplinary teams, so practice explaining complex statistical concepts in simple terms. Think of ways to convey your ideas clearly and concisely, as this will be crucial in your role. Consider preparing a few scenarios where you successfully communicated complex information to non-experts.
✨Showcase Your Leadership Skills
The role requires mentoring and leading statistical workstreams, so be ready to share your experiences in these areas. Highlight any past leadership roles, your approach to stakeholder management, and how you’ve successfully guided teams through challenging projects. This will demonstrate your readiness for the senior level position.
