DD Analytics is developing machine learning algorithms in the medical field and is currently focusing on software as a service for analyzing glucose data. You will continue the development of our machine learning by applying data science methods to improve and optimize glucose control and the life for people living with insulin-treated diabetes and to develop powerful machine learning algorithms that can help clinicians to provide far better care for this group.
Qualifications:
You are writing you master thesis or have recently finished a master’s degree in Computer Science, Mathematics, Engineering Physics, Electrical Engineering, Industrial Engineering or similar fields.
Programming experience inn either R or Python and possibly SQL – additional experience in MATLAB
Ideally, you have some working experience in statistical modeling and/or machine learning
Ability to explain complex analytical concepts to people from other fields
Strong presentation and communication skills
You have a passion for life science and to improve the lives of others through technology
You have the urge to make a real impact with your skills
You are interested in new methodologies and how to implement them
Who to work with:
You will work in Stockholm as part of the DD Analytics team. DD Analytics is developing machine learning algorithms in the medical field and is currently focusing on software as a service for analyzing glucose data to improve diabetes care and empower people living with insulin-treated diabetes. The team consists of senior developers and medical experts.
The team is cross-functional, consisting of back-end developers, UX specialist, regulatory specialists, and machine learning.
What to do:
You will apply data science methods to improve and optimize glucose control and the life for people living with insulin-treated diabetes and to develop powerful machine learning algorithms that can help clinicians to provide far better care for this group.
25-03-2024
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