At a Glance
- Tasks: Conduct machine learning analyses on clinical data to support healthy ageing.
- Company: Join the prestigious University of Oxford's innovative research team.
- Benefits: Remote work options, competitive salary, and a two-year funded position.
- Other info: Be part of a dynamic research group focused on cardio-metabolic health.
- Why this job: Make a real impact on health through cutting-edge research in data science.
- Qualifications: PhD/DPhil in relevant fields and experience in machine learning.
The predicted salary is between 40000 - 50000 £ per year.
The University of Oxford Careers and Employment is seeking a Data Scientist in Oxford for the Cardio-Metabolic-Renal Research Group. The role involves conducting machine learning analyses on clinical data to explore adverse drug events and to support healthy ageing.
Candidates should have a PhD/DPhil in relevant fields and experience in data science, specifically machine learning. The position is funded for two years with some remote working possibility.
Cardio-Metabolic Data Scientist — ML for Healthy Aging (Remote) in Oxford employer: University of Oxford Careers and Employment
The University of Oxford offers a dynamic and intellectually stimulating environment for Data Scientists, particularly within the Cardio-Metabolic-Renal Research Group. With a strong emphasis on research excellence, employees benefit from collaborative work culture, access to cutting-edge resources, and opportunities for professional development, all while contributing to impactful studies that promote healthy ageing. The flexibility of remote working arrangements further enhances work-life balance, making it an exceptional place for those seeking meaningful and rewarding employment.
Contact Details:
University of Oxford Careers and Employment Recruitment Team
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We think you need these skills to ace Cardio-Metabolic Data Scientist — ML for Healthy Aging (Remote) in Oxford
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