13117 - Data Analyst in Health Data Science and Innovation

University of Edinburgh; City of Edinburgh; Hybrid; GBP 41,000 - 49,000; Full time

Job summary

A prominent university in the UK is seeking a Data Analyst to contribute to health data science initiatives. This role involves analyzing real-world health data to inform decision-making and improve healthcare services in Scotland. Candidates should possess skills in statistical programming and data management. The position offers opportunities for hybrid working arrangements, with a minimum requirement for on-campus presence.

Qualifications

• Experience in data analysis and machine learning/AI
• Ability to extract and transform data for analysis
• Good archiving and organization skills.

Responsibilities

• Shape the future of health care through data analysis.
• Develop and implement data-driven approaches.
• Work in partnership with healthcare leaders.

Skills

Statistical programming

Data analysis using Python or R

Data management

Organizational skills

Teamwork in multi-disciplinary settings

Education

Good undergraduate degree in relevant subject

Higher degree or equivalent experience

Job description

Overview

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

CMVM / School of Population Health Sciences / Usher Institute

Full time: 35 Hours per week

Fixed Term: November 2025 to 31st October 2027

Location: Usher Institute, Edinburgh Bioquarter

Work Arrangement

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.

The Opportunity

The Centre for Population Health Sciences at the Usher Institute within The University of Edinburgh is looking for Data Analyst in Health Data Science and Innovation.

This post offers a rare and exciting opportunity to help shape the future of unscheduled and emergency health care in Scotland by harnessing the power of advanced analytics and real-world health data.

You will work in a fast-paced, agile research environment where data meets decision-making. Working in close partnership with senior health care and community care leaders, you will help develop and implement data-driven approaches that generate actionable insights. These insights will drive rapid cycles of service improvement and directly inform frontline health care. This work is fully aligned with Scotland’s Health and Social Care Data Strategy and will contribute to a more responsive, efficient, and equitable health system.

This programme will go beyond data analysis to enable meaningful system-wide transformation. From enhancing urgent care pathways to strengthening community prevention strategies, your contributions will make a real-world impact through data, helping to build a more adaptive health and care system that can meet rising demand with precision and compassion.

Informal enquiries

Informal enquiries may be directed to Professor Nazir Lone, Professor of Critical Care and Epidemiology ([e-mail])

Your skills and attributes for success

• A good undergraduate degree and higher degree in a relevant subject, or able to demonstrate relevant and equivalent experience
• Experience in using statistical programming for data analysis and machine learning/AI, using python or R
• The ability to extract data and a good understanding of transferring and transforming data, for analysis using different statistical packages.
• Good archiving, data management, and organizational skills
• Ability to work well within a multi-disciplinary team