PhD: Characterising a high-risk Type 2 Diabetes phenotype using big data
Health Data Research UK
- Closing: 5:16pm, 25th Jul 2023 BST
Perks and benefits
Flexible working hours
Work from home option
Wellness programs
Employee Assistance Programme
Enhanced maternity and paternity leave
Extra holiday
Professional development
Mentoring/coaching
Team social events
Candidate happiness
8.47 (4654)
8.47 (4654)
Job Description
Summary:
The HDR Big Data for Complex Diseases PhD Programme provides unrivalled opportunities for people from a variety of academic and professional backgrounds who are inspired to work with health data to solve complex health challenges.
The Big Data for Complex Disease (BDCD) Driver Programme will address three core challenges that focus on deploying whole population, national linked health data:
To better predict development of cancer and CVD and to stratify risk for better early detection, early diagnosis and prevention.
To improve understanding of the inter-relationship between these complex diseases to ensure that data-driven insights fully inform strategies for the prevention, early diagnosis and management of both treatment sequelae and long-term risk.
To examine and better understand the impact of inequalities to influence and mitigate the negative impacts on incidence and outcomes associated with age, gender, ethnicity, geography and deprivation.
Its underlying philosophy is that health data science requires a combination of expertise spanning three fundamental areas: statistical, computational and health sciences.
Our programme offers:
Tax-free stipends with increases every year
Fully-paid tuition fees
Research expenses and travel costs
Bespoke training delivered with our industry and academic partners
Entry requirements:
Please see the entry requirements for each project on our website.
Further information:
Privacy policy:
https://www.hdruk.ac.uk/hdr-uk-phd-student-privacy-notice/
Any questions?
Please feel welcome to contact us with any questions or concerns at learn@hdruk.ac.uk.
Removing bias from the hiring process
Applications closed Tue 25th Jul 2023
Removing bias from the hiring process
- Your application will be anonymously reviewed by our hiring team to ensure fairness
- You’ll need a CV/résumé, but it’ll only be considered if you score well on the anonymous review
Applications closed Tue 25th Jul 2023