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An exciting opportunity awaits an experienced postdoctoral epidemiologist or data scientist to join a pioneering project aimed at enhancing the health and educational outcomes of children with vision impairment. This role involves analyzing unique datasets and collaborating with a multidisciplinary team to drive impactful research. With a competitive salary and extensive benefits, this position not only offers professional growth but also the chance to make a significant difference in public health. If you are passionate about data science and epidemiology, this role could be your next career milestone.
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London, United Kingdom
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Yes
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3e3349b7219f
5
05.05.2025
19.06.2025
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About the role
The Vision and Eyes Group at UCL is offering an exciting opportunity for an experienced postdoctoral epidemiologist / data scientist to join 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 internationally unique datasets: the British Childhood Vision Impairment Study (BCVIS) and BCVIS 2, within the Population, Policy and Practice Research and Teaching Department at GOS ICH, UCL. The post-holder will work independently and collaboratively within a multidisciplinary team, lead or contribute to publications, and present findings at meetings and scientific conferences.
The salary for this position is £52,000 per annum, funded for 36 months. The role is available from July, with a negotiable start date.
The application deadline is 15th June, with interviews scheduled for 30th June.
About you
Applicants must hold a PhD in Epidemiology or Data Science, with relevant postdoctoral research experience in applied health research, expertise in analyzing large healthcare datasets, and a strong publication record. Candidates should have a solid understanding of epidemiological research methods and data science, along with robust statistical analysis skills.
What we offer
We offer numerous benefits, including: