Biostatistician / Data Scientist (f/m/d)

at  Roche

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Our department „Biostatistics & Data Science Core Lab & Point of Care“ employs more than 100 biostatisticians and data scientists in Munich, Penzberg, Mannheim and Indianapolis. We are collaborating with teams from all areas of Roche Diagnostics giving consultancy in all matters of statistics and data science. This includes the planning and analysis of experiments and studies as much as the development of new statistical methods to solve problems and the preparation of automated reports for standard analysis.
We accompany projects from the very beginning in the early development until the late stages of the final release of a product. These products can be big measurement devices for laboratories, individual assays or any other type of medical diagnostics tool.

Your objectives/tasks

• Your activity includes statistical and bioinformatics analysis of mass-spectrometric experiments or comparable technologies in research departments according to project requirements.
• You are responsible for the planning of experiments and the analysis of the generated data including validated reporting but also dynamic, interactive data visualizations.
• You are responsible for the development and maintenance of data analytics pipelines for data extraction, storage and analysis in state-of-the-art software and using the available computing environment.
• As a link between research departments, external and internal business partners and other statisticians, your communication skills contribute significantly to the success of these projects.

Your Profile

• University degree (ideally PhD) in statistics, mathematics, physics or bioinformatics
• Preferably work experience in industry.
• Experience in the fields of statistical modelling and design of experiments.
• Previous experience with mass spectrometry data, e.g. peak integration, raw chromatographic data processing and MS data management, is a plus.
• Excellent knowledge of statistical software (e.g. R, JMP, etc.) and reproducible reporting (Markdown, Quarto, Latex).
• Excellent knowledge of databases, version control (GIT) and R-Shiny.
• As we are working in a highly dynamic R&D environment the ideal candidate is able to deliver flexible and maintainable software solutions for the needed analysis tasks.
• Your very good analytical thinking skills help you to quickly understand complex issues and come up with good solutions.
• Excellent communication and documentation skills and eager to work in international teams.
• English: fluent in speaking and writing.

This position is limited to 2 years.
The workplace for this position is in Munich.
In the long term, it is planned for the role to be based at the Penzberg site.
Your application
We make things easier for you: Please upload only your current and compelling CV and your certificate of your highest degree.
We look forward to receiving your application!

• Your activity includes statistical and bioinformatics analysis of mass-spectrometric experiments or comparable technologies in research departments according to project requirements.
• You are responsible for the planning of experiments and the analysis of the generated data including validated reporting but also dynamic, interactive data visualizations.
• You are responsible for the development and maintenance of data analytics pipelines for data extraction, storage and analysis in state-of-the-art software and using the available computing environment.
• As a link between research departments, external and internal business partners and other statisticians, your communication skills contribute significantly to the success of these projects