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- Tasks: Join a multidisciplinary team to improve childhood vision impairment outcomes through innovative research.
- Company: UCL GOS ICH is a leading children's health research institute in the UK.
- Benefits: Enjoy 41 days holiday, a pension scheme, and on-site facilities like a gym and nursery.
- Why this job: Make a real impact on children's health while working in a supportive and diverse environment.
- Qualifications: PhD in Epidemiology or Data Science with postdoctoral experience in health research required.
- Other info: Position funded for 36 months, starting July 2025; application deadline is 15th June.
The predicted salary is between 52000 - 52000 £ per year.
Our mission is to maximise and advocate for the holistic health of all children, young people, and the adults they will become, through world-class research, education, and public engagement. The UCL GOS ICH, together with its clinical partner Great Ormond Street Hospital for Children, forms the largest concentration of children's health research outside North America. The 2024-29 GOS ICH strategy focuses on its five scientific programmes. GOS ICH's activities include active engagement with children and families to ensure our work is relevant and appropriate to their needs. GOS ICH generates funding for our research by submitting high-quality proposals to public, charitable, and industrial funding bodies, and disseminates research findings through publications in medical and scientific literature, targeting clinicians, policymakers, and the wider public. The Institute offers world-class education and training across various programmes addressing the needs of students and professionals interested in child health. GOS ICH holds an Athena SWAN Charter Gold Award.
The Vision and Eyes Group at UCL is offering an exciting opportunity for an experienced postdoctoral epidemiologist or data scientist to join us in a novel and ambitious multidisciplinary project aimed at improving the health, educational, and social outcomes of childhood vision impairment. The project involves investigating long-term outcomes using two unique datasets: the British Childhood Vision Impairment Study (BCVIS) and BCVIS2, which include clinical data and linked records from the National Pupil Dataset (NPD) and Hospital Episode Statistics (HES). This is a chance for an experienced epidemiologist or data scientist to conduct high-impact research, manage a multidisciplinary project, and develop expertise within a leading Vision and Eyes research group. The position is funded by a grant from the Medical Research Foundation and is based within the Population, Policy and Practice Research and Teaching Department at GOS ICH, UCL. The successful candidate will work independently and collaboratively, contribute to publications, and present findings at meetings and conferences.
The salary is £52,487 per annum, funded for 36 months, with an expected start date from July 2025 (negotiable). The application deadline is 15th June, with interviews on 30th June.
Applicants should hold a PhD in Epidemiology or Data Science, with relevant postdoctoral experience in applied health research. Experience in analyzing large healthcare datasets and publishing peer-reviewed articles is essential. Candidates must have a strong knowledge of epidemiological and/or data science research methods and robust statistical skills.
What we offer:
- 41 days holiday (including 27 days annual leave, 8 bank holidays, and 6 closure days)
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- On-site nursery and gym
- Enhanced maternity, paternity, and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
As London's Global University, we value diversity as a driver of creativity and innovation. We are committed to equality of opportunity, fairness, and inclusivity. We particularly encourage applications from candidates who are underrepresented in UCL's workforce, including those from Black, Asian, and ethnic minority backgrounds, disabled people, LGBTQI+ individuals, and women in Grade 9 and 10 roles.
Senior Research Fellow in Ophthalmic Epidemiology/Data Science employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Fellow in Ophthalmic Epidemiology/Data Science
✨Tip Number 1
Familiarise yourself with the British Childhood Vision Impairment Study (BCVIS) and BCVIS2 datasets. Understanding these unique datasets will not only enhance your knowledge but also demonstrate your genuine interest in the project during discussions.
✨Tip Number 2
Network with professionals in the field of ophthalmic epidemiology and data science. Attend relevant conferences or webinars to connect with potential colleagues and mentors, which can provide insights into the role and the research group.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those involving large healthcare datasets. Be ready to highlight specific challenges you faced and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Stay updated on recent publications in the field of childhood vision impairment and epidemiology. Being knowledgeable about current trends and findings will help you engage in meaningful conversations during interviews and show your commitment to the field.
We think you need these skills to ace Senior Research Fellow in Ophthalmic Epidemiology/Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in epidemiology or data science, particularly any work with large healthcare datasets. Emphasise your postdoctoral experience and any publications in peer-reviewed journals.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your motivation for applying to the UCL GOS ICH. Discuss how your skills align with their mission and the specific requirements of the Senior Research Fellow role.
Highlight Relevant Skills: In your application, be sure to showcase your statistical skills and knowledge of epidemiological research methods. Provide examples of how you've applied these skills in previous projects or research.
Proofread and Edit: Before submitting your application, thoroughly proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at UCL
✨Know Your Research
Familiarise yourself with the British Childhood Vision Impairment Study and BCVIS2 datasets. Be prepared to discuss how your experience aligns with the research goals and methodologies used in these studies.
✨Showcase Your Statistical Skills
Highlight your robust statistical skills during the interview. Be ready to provide examples of how you've applied these skills in previous projects, especially in analysing large healthcare datasets.
✨Demonstrate Collaborative Spirit
Since the role involves working both independently and collaboratively, share experiences where you successfully managed multidisciplinary projects. Emphasise your ability to communicate effectively with diverse teams.
✨Align with Their Mission
Understand and express how your personal values align with the mission of improving health outcomes for children and young people. Show enthusiasm for contributing to their world-class research and public engagement efforts.
