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Digital Biomarker Data Scientist(m/w/x)
Algorithm co-development for a diabetes companion app, analyzing health sensor time-series data for regulatory interactions. 7+ years hands-on experience with health sensor time-series data and profound Python knowledge required. Family-friendly career paths, sustainability initiatives.
Requirements
- University degree in engineering, mathematics, statistics, natural science, or informatics
- 7+ years of hands-on experience in data science on digital biomarker data and time-series data
- Expert knowledge in machine learning and data-driven modeling techniques
- Strong track record in analyzing time series data related to health sensor data
- Profound knowledge in Python (pandas, tensorflow, numpy, pyspark)
- Familiarity with standard code development practices and tools (Git, PEP8, Agile)
- Experience with AWS in a data science context
- Strong communication of complex data insights to diverse stakeholders
- Strong patient and customer focus with a goal-oriented mindset
- Experience in leading algorithm development projects and data scientists
- Understanding of regulatory requirements for digital health technologies and SaMD
- Exposure to diabetes-related technology, e.g. glucose simulation or algorithm development
Tasks
- Co-develop algorithms for the diabetes companion app
- Support the certification process under MDR/FDA
- Guide team members with expertise in Python, statistics, and machine learning
- Conduct hands-on implementation work
- Deliver scientific data analysis for regulatory interactions
- Develop marketing materials and peer-reviewed journal articles
- Establish the relevance of digital biomarker solutions
- Lead data analysis activities in diverse matrix teams
- Stay updated on the latest data science and diabetes technology
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- tensorflow
- numpy
- pyspark
- Git
- PEP8
- Agile
- AWS
Benefits
Informal Culture
- Healthy and inclusive work environment
Family Support
- Family friendly career paths
Sustainability Focus
- Sustainability initiatives
Modern Office
- Flexible modern workplace
Learning & Development
- Opportunities for professional development
Career Advancement
- Opportunities for personal growth
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Digital Biomarker Data Scientist(m/w/x)
Algorithm co-development for a diabetes companion app, analyzing health sensor time-series data for regulatory interactions. 7+ years hands-on experience with health sensor time-series data and profound Python knowledge required. Family-friendly career paths, sustainability initiatives.
Requirements
- University degree in engineering, mathematics, statistics, natural science, or informatics
- 7+ years of hands-on experience in data science on digital biomarker data and time-series data
- Expert knowledge in machine learning and data-driven modeling techniques
- Strong track record in analyzing time series data related to health sensor data
- Profound knowledge in Python (pandas, tensorflow, numpy, pyspark)
- Familiarity with standard code development practices and tools (Git, PEP8, Agile)
- Experience with AWS in a data science context
- Strong communication of complex data insights to diverse stakeholders
- Strong patient and customer focus with a goal-oriented mindset
- Experience in leading algorithm development projects and data scientists
- Understanding of regulatory requirements for digital health technologies and SaMD
- Exposure to diabetes-related technology, e.g. glucose simulation or algorithm development
Tasks
- Co-develop algorithms for the diabetes companion app
- Support the certification process under MDR/FDA
- Guide team members with expertise in Python, statistics, and machine learning
- Conduct hands-on implementation work
- Deliver scientific data analysis for regulatory interactions
- Develop marketing materials and peer-reviewed journal articles
- Establish the relevance of digital biomarker solutions
- Lead data analysis activities in diverse matrix teams
- Stay updated on the latest data science and diabetes technology
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- tensorflow
- numpy
- pyspark
- Git
- PEP8
- Agile
- AWS
Benefits
Informal Culture
- Healthy and inclusive work environment
Family Support
- Family friendly career paths
Sustainability Focus
- Sustainability initiatives
Modern Office
- Flexible modern workplace
Learning & Development
- Opportunities for professional development
Career Advancement
- Opportunities for personal growth
About the Company
mySugr GmbH
Industry
Healthcare
Description
The company is committed to transforming healthcare through sustainable action and innovation, focusing on early diagnosis and targeted treatments.
Not a perfect match?
- mySugr GmbH
mySugr Digital Biomarker Data Scientist(m/w/x)
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Senior Medical Manager / Senior Clinical Evaluation Manager(m/w/x)
Full-timeOn-siteSeniorWienfrom 3,843 / month - mySugr GmbH
Senior Medical Manager / Senior Clinical Evaluation Manager(m/w/x)
Full-timeOn-siteSeniorWienfrom 3,843 / month - mySugr GmbH
Senior Software Engineer - iOS(m/w/x)
Full-timeOn-siteSeniorWienfrom 3,455 / month - mySugr GmbH
Principal Quantitative Scientist(m/w/x)
Full-timeOn-siteSeniorWienfrom 3,843 / month