Beschreibung

Main Responsibilities

 

  • Algorithm development and validation, such as machine learning-based classification or prediction algorithms in clinical contexts
  • Development of dashboards or other visualizations for real-time tracking and insight into ongoing study-related activities
  • Development, implementation and optimization of codes / programming for statistical analysis according to SAPs as well as creation of TLFs
  • Development of statistical analysis plans, monitoring statistics, sample size (re-) estimation as appropriate for complex clinical research projects
  • Guide stakeholders in defining their data analysis objectives
  • Development and implementation of concepts (including utilization of AI) for general process improvements and innovation in clinical research
  • Provide input for statistical reports and support publications for clinical research projects

 

Additional statistical activities:

  • Statistical and data science consultancy, including model and data interpretation, for Project Managers and Principal Investigators
  • Simplify and translate complex statistical and machine learning analyses for non-technical stakeholders through visualizations and clear summaries

 

 

Main Requirements

 

  • MSc degree in Data Science, Bioinformatics, Statistics, Machine Learning, Computer Science, or closely related field
  • Strong programming skills (preferably SAS), with experience in handling large, complex clinical datasets
  • Advanced skills in data analysis, including predictive modeling, machine learning, and diagnostic accuracy analyses
  • Strong understanding of statistical concepts and experience applying them in real-world research or clinical data contexts
  • Strong analytical skills with the ability to use data to drive decision-making and measure process success
  • Familiarity with clinical data standards (e.g., CDISC, SDTM)
  • Knowledge in project management software (e.g., MS Project, JIRA) and clinical data management tools
  • Attention to detail and reliability
  • Flexibility and customer-focused mindset
  • Collaborative and team-oriented with the ability to work cross-functionally
  • Strong oral and written communication skills in English, German would be an added value.


 

  • An interesting and varied job in an exciting and innovative organization
  • The opportunity to be part of a highly committed international team
  • Modern infrastructure
  • High degree of flexibility regarding working hours and location (depending on operational requirements)
  • Generous pagacke of social benefits, including supplementary vacation days and pension scheme contributions
  • Internal skills training opportunities and support for continued education