PhD: Characterising a high-risk Type 2 Diabetes phenotype using big data

Health Data Research UK

Location University of Bristol
Salary Tax-free stipend, fees, research costs - please see website for details
Team Training
  • Closing: 5:16pm, 25th Jul 2023 BST

Perks and benefits

Life Insurance
Wellness programs
Employee Assistance Programme
Additional parental leave
Enhanced maternity and paternity leave
Extra holiday
Professional development
Team social events
Cycle to work scheme

Candidate happiness

8.47 (2294)

Job Description


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:

Any questions?

Please feel welcome to contact us with any questions or concerns at

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