Cardio-Renal Epidemiologist & Data Scientist

1000scholars; City of Edinburgh; On-site; GBP 41,000 - 49,000; Full time

Job summary

1000scholars seeks an Epidemiologist/Health Data Scientist to work with Dr Peter Gallacher and Prof. Neeraj Dhaun on high-fidelity NHS data to improve cardiovascular risk prediction in kidney disease patients.

Based at the Institute for Neuroscience and Cardiovascular Research, University of Edinburgh, the post holder will curate linked datasets, design data-linkage studies, and perform advanced analytics while leading a growing team of epidemiologists and data scientists.

Qualifications

• Undergraduate degree in mathematics, statistics, computing science, scientific or health-related field.
• Experience in clinical epidemiology or health data science.
• Experience of data management (e.g. data cleaning and manipulation).
• Experience of statistical modelling.
• Proficiency in programming (e.g. R).

Responsibilities

• Work with epidemiology and data science to access and curate large-scale datasets.
• Design data-linkage studies and perform advanced analytics and statistical modelling.
• Lead and guide a team of epidemiologists and data scientists.
• Embed within the Institute and collaborate with clinicians and researchers.

Job description

1000scholars seeks an Epidemiologist/Health Data Scientist to work with Dr Peter Gallacher and Prof. Neeraj Dhaun on high-fidelity NHS data to improve cardiovascular risk prediction in kidney disease patients.

Based at the Institute for Neuroscience and Cardiovascular Research, University of Edinburgh, the post holder will curate linked datasets, design data-linkage studies, and perform advanced analytics while leading a growing team of epidemiologists and data scientists.