Join our team as a Digital Biomarker Data Scientist to address the next challenges in Diabetes Care by shaping our next generation digital continuous glucose monitoring solutions. We aim to transform the day-to-day experience of people with diabetes using machine learning and data analytics.
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 preferably in the diagnostics / pharmaceutical / medical (device) environment.
- Expert knowledge in machine learning and other data driven modeling techniques.
- Strong track record in analyzing time series data, ideally related to health sensor data.
- Profound knowledge in Python (pandas, tensorflow, numpy, pyspark etc.).
- Familiar with standard code development practices and tools (Git, PEP8, Agile software development etc.).
- Experience with AWS in a data science context is a plus.
- Strong in communicating complex data insights effectively to diverse stakeholders and used to work collaboratively within large, agile, multinational teams in multiple locations.
- Driven by a strong patient and customer focus with a goal oriented mindset.
- Experience in leading algorithm development projects and in leading other data scientists is a plus.
- Understanding of regulatory requirements for digital health technologies and Software as a medical device (SaMD) is a plus.
- Exposure to diabetes related technology, e.g. glucose simulation, algorithm development or similar is a plus.
Benefits
- Ambitious and passionate people building meaningful products for a global audience
- Innovative agile working environment allowing for collaboration with really smart people and knowledge sharing in cross-functional teams
- Wonderful office with a rooftop terrace, fully stocked kitchen and amazing barista coffee machines in the middle of Vienna