MySugr Digital Biomarker Data Scientist

Let’s build a healthier future, together! By combining our unique strengths, we are redefining healthcare through sustainable action and innovation. For a behind-the-scenes look, check out this

The was acquired by Roche in 2017 and our Vienna office is one of Roche's global sites. You will be located here, in the heart of Vienna, no matter if you work on a mySugr®, Accu-Chek®, navify® or any other Roche product or solution. You can read more about the history of mySugr & Roche

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.

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.

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, tensor flow, 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, glucose simulation, algorithm development or similar is a plus.

Ambitious and passionate people building meaningful products for a global audience

An innovative agile working environment allowing for collaboration with really smart people and knowledge sharing in cross‑functional teams

Not a corporate environment, but the leverage of a global market leader (Roche family)

A wonderful office with a rooftop terrace, fully stocked kitchen and amazing barista coffee machines in the middle of Vienna… oh, and did we mention the best team in the world!

In Austria, mySugr has a legal obligation to disclose the minimum salary according to our collective agreement, which is gross - per month for this position. But! Rest assured, we offer amazing competitive compensation packages which take into consideration current market trends, therefore you can expect a higher offer that reflects your experience level.