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- Tasks: Join a dynamic team to analyse health data and present impactful research findings.
- Company: UCL's Institute of Health Informatics is a leader in health data science and informatics education.
- Benefits: Enjoy 41 days holiday, flexible working, gym access, and a cycle to work scheme.
- Why this job: Make a real difference in health outcomes while working in an inclusive and innovative environment.
- Qualifications: PhD required, with strong skills in Python, R, and cloud platforms; experience in health data analysis preferred.
- Other info: This full-time role is funded until November 2027, with potential for further funding.
The predicted salary is between 43200 - 72000 £ 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 Faculty of Population Health Sciences has established itself as UCL's largest research-based faculty, encompassing eight institutes.
The Institute of Health Informatics is looking to appoint a Senior Research Fellow to join our welcoming and vibrant Institute. This position presents a unique opportunity to join a team of experienced health data scientists, informaticians, statisticians, and clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources. The Senior Research Fellow will contribute to transforming phenotype data to a common data model as well as deliver research describing the burden of rare cardiovascular disorder. The post is full-time (36.5 hours per week) and is funded until 10 November 2027; further funding may become available.
The Senior Research Fellow must have a PhD as well as excellent programming and data visualisation skills in Python and R, as well as experience with cloud platforms. The role holder will have experience in creating and evaluating algorithms for identifying clinically important features in health record data.
If you believe you meet the requirements, come and be part of this unique and exciting opportunity and contribute to our mission to improve health outcomes through research.
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
- Employee assistance programme
The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. 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 women.
Senior Research Fellow in Health Data Science employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Fellow in Health Data Science
✨Tip Number 1
Network with professionals in health data science and informatics. Attend relevant conferences or webinars where you can meet current researchers and faculty members from UCL. This can help you gain insights into the role and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in health data science, particularly in Python and R programming. Consider contributing to open-source projects or engaging in online communities to showcase your skills and passion for the field.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms and algorithm development during the interview. Be ready to provide specific examples of how you've used these skills in previous projects, as this will demonstrate your capability to contribute effectively to the team.
✨Tip Number 4
Research the Institute of Health Informatics and its recent projects. Understanding their work and aligning your interests with their mission can help you articulate why you're a great fit for the Senior Research Fellow position during your discussions.
We think you need these skills to ace Senior Research Fellow in Health Data Science
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Senior Research Fellow 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 data science, programming in Python and R, and any work with cloud platforms. Make sure to showcase your achievements in statistical analysis and data visualisation.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for the role. Address how your background aligns with the mission of the Institute of Health Informatics and mention specific projects or experiences that demonstrate your expertise.
Prepare for the Questionnaire: When filling out the application questionnaire, directly address the essential and desirable criteria mentioned in the job description. Use specific examples from your past work to illustrate how you meet these requirements.
How to prepare for a job interview at UCL
✨Showcase Your Technical Skills
Make sure to highlight your programming and data visualisation skills in Python and R during the interview. Be prepared to discuss specific projects where you've successfully applied these skills, especially in relation to health data.
✨Understand the Role's Impact
Familiarise yourself with how the Senior Research Fellow position contributes to improving health outcomes. Be ready to articulate how your experience aligns with the mission of the Institute of Health Informatics and the importance of transforming phenotype data.
✨Prepare for Algorithm Discussions
Since the role involves creating and evaluating algorithms, be prepared to discuss your experience in this area. Think of examples where you've identified clinically important features in health record data and be ready to explain your thought process.
✨Emphasise Collaboration and Inclusion
The Institute values a collaborative environment. Share experiences that demonstrate your ability to work effectively within diverse teams. Highlight any initiatives you've been part of that promote equality, diversity, and inclusion in research settings.
