PostDoc Biostatistic/Data Scientist (m/f)

Germany, Bavaria, Penzberg

We are seeking for a talented candidate with interest, high motivation and experience in biostatistics for a postdoctoral fellowship. The successful candidate will work within a diverse collaborative group in Roche Centralized and Point of Care Solutions.  The department is part of the R&D unit with about 40 statisticians, data scientists and applied mathematicians plus a software development team of about 25 IT-specialists.  We focus on the application and development of statistical methods for the evaluation of assay performance during development, operations, in external clinical studies, and in routine use by Roche Diagnostics professional customers.
The work of the department embraces the following aspects:
  • Statistical tasks range from classical hypothesis testing to exploratory multivariate analysis and classification tasks
  • The design of clinical studies has a substantial impact on the cost and quality of the results. Often the clinical situation is complex and more than one design option is possible.
  • Search for new markers and marker combinations for diagnosis, prognosis or monitoring of diseases with identified high unmet medical need
  • Support of the development of companion diagnostics assays to select patients for new treatments or to predict the effect of new treatments
  • For the design and evaluation of lab experiments, tasks range from signal processing to statistical process control. Ideally R packages are developed in a re-usable fashion and published at CRAN.
  • We have a very large in-house data base with routine measurements. In this data base systematic effects need to be identified in front of a background of large and heterogeneously structured influencing factors.
  • Finally you will be part of a highly motivated team having profound experience in the field and using state of the art equipment
Due to time constraints in the daily routine work often scientifically interesting and valuable approaches to the aforementioned tasks could not be followed. As a PostDoc (m/f) you have the opportunity to investigate and contribute in one or more of the following topics:
  • Statistical analysis: investigation of methodological alternatives and their implications as well as the adaptation of methods to specific clinical situations
  • Big data: identification and statistical modelling of systematic effects in complex observational data
  • Signal analysis: Optimizing the generation of measurement results
  • Develop new complex designs of experiments to cover multiple optimization criteria
  • Investigate and apply Bayesian methods to the analysis of complex quality measures in operations
  • The effectivity of new techniques/algorithms is shown by appropriate and realistic simulation studies