Job Search and Career Advice Platform

Enable job alerts via email!

13487- Postdoctoral Data Analyst

University of Edinburgh

City of Edinburgh

Hybrid

GBP 41,000 - 49,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A prominent educational institution in Edinburgh seeks a postdoctoral data analyst to utilize linked electronic healthcare records for investigating outcomes from RSV maternal vaccines. The role involves managing complex data and developing research methodologies. Hybrid working options are available, supporting a mix of remote and on-campus presence. The position is full-time and fixed-term, lasting until December 2030, aligned with exciting research at the Usher Institute.

Qualifications

  • Experience with data linkage techniques in public health studies.
  • Familiarity with electronic health records and their analysis.
  • Knowledge of infectious diseases and their epidemiology.

Responsibilities

  • Analyze linked electronic healthcare records to study impacts of RSV on infants.
  • Develop data-driven methodologies for research objectives.
  • Collaborate within a multidisciplinary team at the Usher Institute.

Skills

Data linkage
Electronic health records
Infectious disease epidemiology
Respiratory syncytial virus vaccine
Job description

Grade UE07 - £41 604 – £48,822 per annum

College of Medicine and Veterinary Medicine / School of Population Health Sciences / Usher Institute

Full time (35hrs per week)

Fixed Term: available from January 2026 to 31st December 2030

The Opportunity

The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a postdoctoral data analyst who will use Scottish data infrastructure of linked electronic healthcare records to investigate short term and long term outcomes on infants from respiratory syncytial virus (RSV) maternal vaccine.

The post holder will be working with large amounts of highly complex confidential electronic health data to develop and implement data driven approaches to the above study aims.

We will also consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40%* on campus working.
*can be increased depending on business requirements / role.

Informal enquiries may be directed to Dr Ting Shi, Senior Lecturer (ting.shi@ed.ac.uk)

Your skills and attributes for success
  • Data linkage
  • Electronic health records
  • Infectious disease epidemiology
  • Respiratory syncytial virus vaccine
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.