Health Data Scientist

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
Oxford
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£43,171 / year
CATEGORY
Science & Research
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Writing complex queries Anonymised harmonised electronic health datasets Analysis of multiple linked datasets Epidemiology Statistics R SQL Natural experiment designs

FULL DESCRIPTION

Health Data Scientist

Organisation: [Employer hidden — sign up to reveal]

Deadline: 24 February 2025 – 12:00PM

Salary: £38,674 - £43,171 per annum (pro rata)

Type of contract: Full time and fixed term until 31 July 2027

Location: Based in the Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG (with occasional remote working)

Job Description

Applications are invited for a Health Data Scientist to work with a team working with Professor Sir Aziz Sheikh on a research programme that involves research using large cohort electronic health data with a focus on evaluating the impact of health policy interventions (e.g. introduction of RSV programme, clean air zones, abolition of winter fuel subsidies to pensioners) across the UK, using natural experiment designs.

The successful applicant will be expected to develop and carry out their own aspect of work, using large cohort electronic health data which contributes significantly to work of the HDRUK funded Driver Program for Inflammation and Immunity.

Responsibilities

  • Writing complex queries to produce anonymised, harmonised electronic health datasets to use in cohort studies containing health data from multiple sources
  • Analysis of multiple linked datasets to understand and provide expert advice and guidance on the impact of health policy interventions on respiratory health

Qualifications and Experience

  • Hold a PhD (or near completion) in epidemiology or statistics involving the use of electronic healthcare record data or a closely related discipline, or equivalent research, industrial or commercial experience
  • Demonstrable experience in writing queries to transfer, transform and interrogate data from large databases and accompanying statistical analysis packages (e.g. R, SQL)

Contact

For further information or to discuss the post please contact Stuart Faulkner (Senior Program Manager), [contact hidden].

External Organisation

[Employer hidden — sign up to reveal]

Sign up free — access 45,000+ UK sponsor-licensed jobs