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At Roche you can show up as yourself embraced for the unique qualities you bring. Our culture encourages personal expression open dialogue and genuine connections where you are valued accepted and respected for who you are allowing you to thrive both personally and professionally. This is how we aim to prevent stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche where every voice matters.
A healthier future. Thats 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. Thats what makes us Roche.
With a department of more than 100 biostatisticians data scientists and data managers at the Roche sites in Penzberg Mannheim Indianapolis and Sant Cugat del Valls we are supporting global projects to deliver new diagnostics to patients.
As a Biostatistician (f/m/d) in Personalized Healthcare you and your future colleagues will focus on applying stateoftheart statistical and data science methods to drive innovative projects in the field of personalized healthcare and companion diagnostics.
Your key responsibilities
You will work as a project statistician and support the development of new biomarkers.
You are responsible for planning and analyzing analytical and clinical studies.
You will interact closely with the project team members (R&D Clinical Operations Clinical Development Regulatory Affairs external cooperation partners and customers) to capture data analysis requirements and to interpret and communicate the results in an understandable way.
You will have the opportunity to apply multivariate machine learning methods for the development of new clinical algorithms.
Your profile
University degree in (bio)statistics or related subjects (e.g. mathematics epidemiology physics) ideally with a PhD and extensive experience in statistics.
You have experience in the life science/diagnostics/pharmaceutical industry or have successfully completed clinical data analysis projects in an academic environment.
You are familiar with common diagnostic and statistical methods (e.g. logistic regression ROC analysis cutoff determination) and have experience in the design analysis and evaluation of analytical and clinical studies.
You have experience with statistical methods such as classification survival and longitudinal analysis models and you are enthusiastic about the application and implementation of new statistical methods.
You have excellent knowledge of R and LaTeX ideally knitr or R markdown.
You have excellent communication organization and documentation skills as well as very good written and spoken English. German is an advantage.
Your application
We make things easier for you: Please upload only your current and informative CV and your certificate of your highest degree.
However we are happy to receive additional documents such as a letter of motivation and certificates which will help us to find out more about the reasons for your application.
We look forward to receiving your application!
Do you need further support
Full-Time