13762- Epidemiologist- Data Scientist

The University of Edinburgh; City of Edinburgh; On-site; GBP 41,000 - 49,000; Full time

Job summary

The University of Edinburgh invites applications for an Epidemiologist/Health Data Scientist to join the Institute for Neuroscience and Cardiovascular Research. The role centres on using high-fidelity NHS data to enhance cardiovascular risk prediction in patients with kidney disease, and to conduct impactful health data research.

You will work at the cardio-renal interface, perform data linking, analytics and modelling, and contribute to a growing team of researchers including data scientists

Qualifications

• Undergraduate degree in mathematics, statistics, computing or health-related field.
• Experience in clinical epidemiology or health data science.
• Experience with data cleaning and manipulation.
• Experience with statistical modelling.
• Proficiency in programming (R).
• Strong attention to detail for large linked datasets.

Responsibilities

• Access, curate and interrogate large-scale NHS datasets for cardiovascular risk prediction in kidney disease.
• Design data-linkage studies and perform advanced data analytics and modelling.
• Collaborate with clinical researchers and lead a team of epidemiologists and data scientists.

Skills

Statistical modelling

Data management

R programming

Epidemiology

Attention to detail

Collaborative work

Education

Undergrad degree

Tools

R

Job description

Grade UE07: £41,064 to £48,822 per annum

CMVM / School of Neurological and Cardiovascular Sciences / Institute for Neuroscience and Cardiovascular Research

Full-time: 35 hours per week

Fixed-term: for 2 years

The Opportunity:

With roles from hospitality to research, there’s a career for everyone at the University of Edinburgh. We can offer opportunities for you to develop in your career and make a real difference in the communities around us while contributing to the world at large.

We offer careers and roles in just about every area you can think of. Whether you are looking for entry‑level, mid-career or roles at the top of your chosen specialism, we can offer you a career where you can flourish and make a real difference in the communities around us while contributing to the world at large. Our people come from a wide range of backgrounds, each bringing their abilities and experiences to our organisation.

The University isn’t just any employer. We are part of a local community and a contributor to global thinking, progress and research. In Edinburgh, you are in one of the world’s most attractive cities with active arts and social sectors, while working in a University that has made significant contributions to society, medicine, physics and teaching for over four centuries. Our people have helped create the modern world and are working on more ground‑breaking technologies and practices.

Join the University of Edinburgh and you’ll be making a difference to everything around you. Be part of something bigger — where you’ll do meaningful work, grow and progress, be rewarded and recognised, and benefit from our strong commitment to your wellbeing. There are so many reasons to join us.

Applications are invited for an Epidemiologist/ Health Data Scientist, to work with Dr Peter Gallacher and Prof. Neeraj Dhaun (Bean) (Cardiovascular and Renal Healthcare Data Research Group) on an ambitious research programme utilising high‑fidelity, routinely‑collected NHS data to improve cardiovascular risk prediction and management in patients with kidney disease.

The postholder will work at the interface between cardio‑renal epidemiology, data science, medical statistics, and clinical medicine. They will contribute to original, high‑impact quantitative research by accessing, curating and interrogating large‑scale and complex regional and national datasets, comprising linked administrative, biochemistry, diabetes, hospitalisation, mortality, prescribing, renal and transplantation data.

The postholder will work with clinical researchers to transform and curate linked datasets, design novel and exciting data‑linkage studies, and perform advanced data analytics and statistical modelling. They will be embedded within our growing research team, comprising clinical research nurses and clinician researchers from a variety of public health, primary and secondary care backgrounds. The postholder will also provide guidance to other members of the research group, including undergraduate or postgraduate students. As our research team grows, they will help to recruit and lead a team of epidemiologists and data scientists.

Our research team is based within the Institute for Neuroscience and Cardiovascular Research – a BHF‑funded Centre of Research Excellence in Edinburgh – and works closely and collaboratively with a variety of research teams under the auspices of the Centre’s ‘Heart Diseases’ and ‘Data‑Driven Innovation’ Research Themes (https://cardiovascular-science.ed.ac.uk/research/cvs-bhf-centres/bhf-centre-of-research-excellence).

This role would suit an ambitious individual who is either looking to develop their skills and career in high‑impact health data research, or a more experienced epidemiologist/data scientist looking to expand their role within a dynamic and specialist team.

You will have:

• An undergraduate qualification or equivalent in a mathematics, statistics, computing science, scientific or health-related field;
• Experience of 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. statistical programming in R);
• A strong level of attention‑to‑detail that is well‑suited to handling and analysing large‑scale, complex linked datasets.

You will be based in the Institute for Neuroscience and Cardiovascular Research, Queen’s Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ.

The position is funded through an award from the British Heart Foundation and is available immediately for 2 years in the first instance.