mySugr Digital Biomarker Data Scientist (m/f/d)

As a Digital Biomarker Data Scientist, you will be essential 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. Join our team as a data science expert within the RIS Digital Biomarker Data Insights sub-chapter. We co-create innovative digital biomarker and remote patient management solutions and translate them into certified software as medical device products. Your responsibilities: You co-develop new algorithms for our diabetes companion app and support in the certification process under MDR/FDA to launch them as product features - in close collaboration with the other science and product stakeholders. You take on a leadership role in the development process, by guiding people with your profound technical knowledge in python, statistics and machine learning while still conducting hands-on implementation work. You deliver scientific data analysis to support regulatory interactions, the development of marketing materials as well as peer-reviewed journal articles to establish the biological, clinical and patient relevance of novel developed digital biomarker solutions. You lead data analysis activities in diverse matrix teams embedded in a complex multi-disciplinary stakeholder environment. You stay current with the latest technology around the data science ecosystem and diabetes technology. Essential skills for your mission: 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.

We are committed to providing a healthy, equal and inclusive working environment for our employees to bring true relief to the patient! We care about family friendly career paths, sustainability, a healthy lifestyle and the flexibility of a modern workplace. We maintain a culture of learning and sharing, as well as open and candid feedback. At every level, there are many opportunities to develop and grow - both professionally and personally. As a healthcare pioneer committed to transforming the lives of billions of people around the globe, we push boundaries to redefine what is possible. We know that early, accurate diagnosis is essential to maintain health, prevent disease and help advance new, targeted treatments and potential cures for the world's most serious health problems. We have a passion for innovation and a profound commitment to make a lasting impact on society by continuing to improve the standard of care for humankind. Our culture inspires us to create healthcare that is sustainable, efficient and financially viable. Healthcare that is built on people's needs, strong data and clinical insights. Healthcare that saves lives.