At a Glance
- Tasks: Analyse data and apply machine learning to support healthy aging research.
- Company: Harper Adams University, a leader in innovative research.
- Benefits: Flexible remote work options and opportunities for impactful research.
- Other info: Join a dynamic team focused on improving lives through research.
- Why this job: Make a difference in community health while advancing your data science skills.
- Qualifications: Experience in data analysis and machine learning techniques.
The predicted salary is between 35000 - 45000 £ per year.
Harper Adams University in Oxford is inviting applications for the Data Scientist position within the Cardio-Metabolic-Renal Research Group. The successful candidate will collaborate on the ADDRESS-AP project, focusing on analyzing adverse events related to commonly prescribed medications using machine learning techniques.
The role includes responsibilities such as:
- Data analysis
- Advising on methodologies
- Contributing to research publications
All aimed at supporting healthy aging in the community. This position comes with the potential for hybrid working arrangements.
Cardio-Metabolic Data Scientist — ML for Healthy Aging (Remote) employer: Harper Adams University
Harper Adams University is an exceptional employer, offering a collaborative and innovative work culture that prioritises research and community health. With opportunities for professional growth and the flexibility of hybrid working arrangements, employees are empowered to contribute meaningfully to projects like ADDRESS-AP, which aims to enhance healthy aging through advanced data analysis. The university's commitment to supporting its staff ensures a rewarding and fulfilling career path in a vibrant academic environment.
