Research Associate Data Scientist- Artificial Intelligence in Healthcare

Unviersity of Liverpool - The Academy; West Kirby; On-site; GBP 36,000 - 52,000; Full time

Job summary

The University of Liverpool is seeking an innovative Data Scientist to join CHIL, delivering AI, machine learning and advanced analytics to improve health services and reduce inequalities. Fixed term until 31 March 2031.

You will work across ARC NWC, CHIZone and HealthTech Design Studio to build secure AI pipelines, analyse complex health datasets and collaborate with partners to drive research and service improvements.

Qualifications

• PhD in data science or related quantitative discipline.
• Experience with machine learning and AI.
• Strong programming skills in Python or R and related tools.
• Experience working with large, complex datasets.
• Ability to communicate with both technical and non-technical audiences.

Responsibilities

• Develop and deliver advanced analytical solutions using AI, ML and quantitative methods.
• Build secure and reproducible AI pipelines.
• Analyse health and population datasets to generate insights for service improvement.
• Collaborate with academic, NHS, industry, policy and public partners.
• Support knowledge exchange, capacity building and research dissemination.

Skills

Python

R

Machine learning

Data analysis

Communication

Education

PhD in data science or related quantitative discipline

Tools

Python

R

Job description

The University of Liverpool is seeking an innovative and motivated Data Scientist to join the Civic Health Innovation Labs (CHIL), a Research Centre of Excellence delivering both the Analogue2Digital theme of the NIHR Applied Research Collaboration North West Coast (ARC NWC) and the Civic HealthTech Innovation Zone (CHIZone). This is an exciting opportunity to apply artificial intelligence, machinelearningand advanced analytics to improve health and care services and reduce health inequalities.

This post is fixed term until 31 March 2031.

Working across ARC NWC,CHIZoneand its HealthTech Design Studio, you will develop and deliver advanced analytical solutions using AI, machinelearningand related quantitative methods. You will build secure and reproducible AI pipelines,analysecomplex health and population datasets, and work closely with academic, NHS, industry,policyand public partners to generate insights that support innovation,researchand service improvement.

You will contribute to knowledge exchange, capacity building and research dissemination through publications,presentationsand funding applications, while helping to shape the future of data science and AI within a rapidly growing interdisciplinary research environment.

You should hold a PhD (or equivalent experience) in data science or a related quantitative discipline, with experience in machine learning,AIor advanced analytics. Strong programming skills in Python, R or similar languages, experience working with large and complex datasets, and the ability to communicate effectively with both technical and non-technical audiences are essential. Experience in health or social care research would beadvantageous.

If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point 31.

Commitment to Diversity

The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic backgrounds, individuals living with a disability, and members of the LGBTQIA+ community.