At a Glance
- Tasks: Develop and validate electronic health record phenotypes for impactful health research.
- Company: Join King's College London, a top 40 global university with a rich history.
- Benefits: Enjoy professional development days, competitive salary, and a collaborative work environment.
- Other info: Full-time role with opportunities for career growth and international collaborations.
- Why this job: Make a real difference in health data research while working with cutting-edge technology.
- Qualifications: PhD in relevant field, programming skills, and a passion for ethical research.
The predicted salary is between 36000 - 60000 £ per year.
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King\'s College London provided pay range
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About Us
King’s College London is one of the top 40 universities in the world (QS World University Rankings, 2024) and among the oldest in England. The Department of Population Health Sciences, based at Guy’s campus, combines over 160 experts with patients and the public to better understand population health, primary care, social sciences and policy, epidemiology, statistics, and health economics. Our academics use large data sets to evaluate therapies, models of care, and highlight inequalities in access to treatment. We have transformed stroke rehabilitation, linked antidepressant use to weight gain, and uncovered the connections between urban deprivation and long-term health problems.
The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women\'s Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments.
Digital health group works on a range of applications of AI to health research and practice, from personalised app and digital interventions, via evidence synthesis, to software architectures for clinical decision support and patient phenotyping.
About the role
The postholder will contribute to the development, validation, and dissemination of electronic health record (EHR) phenotypes that enable high-quality, reproducible research across the King’s Health Partners and Health Data Research UK (HDR UK) networks. Working within the Digital Health Group, the Research Associate will lead on designing computable phenotypes using the Phenoflow technology and associated workflow standards, ensuring their scalability and portability across multiple datasets and trusted research environments. The role will combine technical and methodological work—spanning data engineering, semantic modelling, and validation studies—with active collaboration across clinical, data science, and informatics teams. The postholder will play a key role in strengthening the reproducibility, transparency, and interoperability of health data research at King’s, contributing to publications, open-source tools, and training resources that advance national and international best practice in EHR phenotyping.
The group has several national and international collaborations around phenotyping, and the postholder is expected to play a key part in these.
The postholder will also work towards obtaining funding for a personal post-doc fellowship.
This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31st December 2027.
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.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
- PhD qualified in relevant subject area *
- Competence in programming and data engineering
- Track record of publications in peer-reviewed journals
- Excellent written and oral communication skills
- Commitment to open, reproducible, and ethical research practices
* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.
- Experience in phenotype definition and validation
- Knowledge of learning health system or translational research contexts
- Knowledge of containerisation, CI/CD, or cloud-based analytical environments
- Experience in ontology development, semantic interoperability, or data standards harmonisation
- Experience working within HDR UK or similar federated data research infrastructures
Seniority level
- Not Applicable
Employment type
- Full-time
Job function
- Research
- Higher Education
Research Associate in EHR Phenotyping employer: King’s College London
King's College London is an esteemed institution that fosters a collaborative and innovative work environment, particularly within the Department of Population Health Sciences. Employees benefit from a strong commitment to professional development, with at least 10 days per year dedicated to enhancing research skills, alongside opportunities for interdisciplinary collaboration and contributions to impactful health research. Located in the vibrant city of London, staff enjoy access to a wealth of resources and networks that support their growth and engagement in meaningful research initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in EHR Phenotyping
✨Tip Number 1
Network like a pro! Reach out to current or former employees at King’s College London on LinkedIn. A friendly chat can give us insider info about the role and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by diving deep into EHR phenotyping. Brush up on your programming skills and be ready to discuss your past research. We want to see how you can contribute to our innovative projects!
✨Tip Number 3
Showcase your passion for open and reproducible research. Bring examples of your work that highlight your commitment to ethical practices. This is key for us at King’s, so let it shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Research Associate in EHR Phenotyping
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Research Associate role. Highlight your relevant skills, especially in programming and data engineering, and showcase any experience you have with EHR phenotyping or similar projects.
Show Off Your Publications:If you've got a track record of publications in peer-reviewed journals, flaunt it! This is a great way to demonstrate your research capabilities and commitment to open, reproducible research practices.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it aligns with the role. Remember, we want to see your passion for health data research!
Apply Through Our Website:Don’t forget to submit your application through our official website. It’s the best way to ensure your application gets seen by the right people at King’s College London. We can’t wait to see what you bring to the table!
How to prepare for a job interview at King’s College London
✨Know Your Phenotypes
Make sure you understand the concept of EHR phenotyping inside out. Be ready to discuss your experience with phenotype definition and validation, as well as any relevant projects you've worked on. This will show that you're not just familiar with the terminology but can also apply it practically.
✨Showcase Your Technical Skills
Since this role involves programming and data engineering, be prepared to talk about your technical skills. Bring examples of your work with containerisation, CI/CD, or cloud-based environments. If you have any coding samples or projects, consider sharing them to demonstrate your capabilities.
✨Communicate Clearly
Excellent communication is key in this role, especially when collaborating with clinical and data science teams. Practice explaining complex concepts in simple terms. During the interview, focus on articulating your thoughts clearly and concisely to make a strong impression.
✨Research King’s College London
Familiarise yourself with King’s College London and its research initiatives, particularly within the Digital Health Group. Understanding their current projects and how your skills align with their goals will help you tailor your responses and show genuine interest in the position.
