At a Glance
- Tasks: Join our team to analyse health data and develop innovative algorithms.
- Company: UCL's Institute of Health Informatics focuses on impactful health research and education.
- Benefits: Enjoy 41 days holiday, flexible working, and a cycle to work scheme.
- Why this job: Be part of cutting-edge research that improves global health and fosters diversity.
- Qualifications: PhD in a related field or equivalent experience; strong skills in Python and data analysis required.
- Other info: Full-time role funded until December 2026, with potential for extension.
The predicted salary is between 32000 - 48000 £ per year.
UCL established the Institute of Health Informatics (IHI) in August 2014 in the Faculty of Population Health Sciences. The aim of IHI is to conduct high quality data-intensive research to improve health at local, national, and international levels. It delivers one of the largest and most highly regarded teaching programmes in health informatics and health data science. It is home to one of four UKRI Centres for Doctoral Training in AI in Healthcare.
The Institute of Health Informatics is looking to appoint a Research Fellow - Health Data Scientist to join our welcoming and vibrant Institute. The Research Fellow will join our expert project team to deliver an exciting project alongside our industry partner.
The postholder will work with contemporary electronic health record data sources, including the UK Biobank, Genes and Health and Our Future Health, to create and evaluate novel methods for defining phenotyping algorithms, develop detailed data analysis plans and contribute to writing technical documentation and scientific reports. The Research Fellow will help plan and participate in regular meetings with the funder to provide expert advice on cutting edge methodology in data science and phenomics. The post is full-time (36.5 hours per week) and is funded until 31 December 2026; further funding may become available.
The Research Fellow will hold at least a PhD in a related field (e.g. computer science, health informatics, bioinformatics) or have a similar level of experience in an academic and/or industrial setting, as well as excellent knowledge of the Python scientific programming stack and best practices for software development. The postholder will have outstanding knowledge and experience of manipulating and analysing large electronic health record datasets, practical knowledge of controlled clinical terminologies (e.g. ICD-10 and SNOMED CT) and will have experience working with relational databases and SQL for manipulating electronic health record and clinical data.
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £38,607 - £41,255 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Please review the job description before applying, paying particular attention to the essential/desirable criteria, and ensure your experience in these areas is addressed in the questionnaire section of the application.
If you believe you meet the requirements, why not come and be part of this unique and exciting opportunity and be part of something where you feel included, valued and proud.
We offer flexible working options, including part-time and job-sharing opportunities, wherever possible. As well as the exciting opportunities this role presents, we also offer some great benefits, including:
- 41 days holiday (pro rata for part-time staff) (27 days annual leave, 8 bank holidays, and 6 closure days)
- Cycle to work scheme
- Season ticket loan
- On-site gym
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Research Fellow - Health Data Scientist x2 employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow - Health Data Scientist x2
✨Tip Number 1
Familiarise yourself with the latest trends in health data science and electronic health records. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of health informatics. Attend relevant conferences or webinars, and connect with current employees at UCL or similar institutions on platforms like LinkedIn to gain insights and advice.
✨Tip Number 3
Prepare to discuss your experience with Python and SQL in detail. Be ready to provide examples of how you've used these skills in past projects, especially in manipulating large datasets or developing algorithms.
✨Tip Number 4
Showcase your understanding of clinical terminologies like ICD-10 and SNOMED CT. Being able to articulate your knowledge of these terms will demonstrate your readiness for the role and your ability to contribute effectively from day one.
We think you need these skills to ace Research Fellow - Health Data Scientist x2
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Research Fellow - Health Data Scientist position. Pay close attention to the essential and desirable criteria, ensuring you understand what skills and experiences are required.
Tailor Your CV: Customise your CV to highlight relevant experience in health informatics, data science, and programming with Python. Emphasise your work with electronic health record datasets and any experience with SQL and clinical terminologies.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the specific responsibilities of the role. Mention your enthusiasm for contributing to high-quality data-intensive research and how your skills align with the project goals.
Complete the Questionnaire Thoughtfully: When filling out the application questionnaire, ensure you address each criterion mentioned in the job description. Provide specific examples from your past experiences that demonstrate your qualifications and fit for the role.
How to prepare for a job interview at UCL
✨Showcase Your Technical Skills
Make sure to highlight your expertise in the Python scientific programming stack and your experience with SQL. Be prepared to discuss specific projects where you've manipulated large electronic health record datasets, as this will demonstrate your practical knowledge.
✨Understand the Role and the Institute
Familiarise yourself with the Institute of Health Informatics and its mission. Understanding their focus on data-intensive research and how it impacts health at various levels will help you align your answers with their goals during the interview.
✨Prepare for Methodology Discussions
Since the role involves providing expert advice on cutting-edge methodology, be ready to discuss your understanding of phenotyping algorithms and controlled clinical terminologies like ICD-10 and SNOMED CT. This will show your depth of knowledge in health informatics.
✨Demonstrate Team Collaboration Skills
The position requires working closely with an expert project team and industry partners. Share examples from your past experiences that illustrate your ability to collaborate effectively, participate in meetings, and contribute to technical documentation and reports.