AI/ML Scientist for Health Data & Predictive Modeling in England

AI/ML Scientist for Health Data & Predictive Modeling in England

England Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Technical University of Denmark

At a Glance

  • Tasks: Use AI/ML to analyse health data and create predictive models.
  • Company: Join the prestigious University of Oxford's innovative research team.
  • Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with leading experts in a dynamic and impactful environment.
  • Why this job: Make a real difference in health data analysis and patient care.
  • Qualifications: Experience in AI/ML and a passion for health data.

The predicted salary is between 63000 - 77000 Β£ per year.

University of Oxford invites applications for a Machine Learning Scientist to join a team led by Professor Sir Aziz Sheikh, working on the HDR UK Inflammation and Immunity Driver program. The role focuses on AI/ML methods to analyse health data, build predictive models, and support data curation and linkage across datasets spanning four nations.

The successful candidate will contribute to methodology development, patient stratification, and risk-based monitoring, with opportunities for remote work.

AI/ML Scientist for Health Data & Predictive Modeling in England employer: Technical University of Denmark

The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.

Technical University of Denmark

Contact Details:

Technical University of Denmark Recruitment Team

We think you need these skills to ace AI/ML Scientist for Health Data & Predictive Modeling in England

Machine Learning
AI/ML Methods
Health Data Analysis
Predictive Modelling
Data Curation
Data Linkage
Methodology Development