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 Fluency in English 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 jidc04d964a jit0937a jiy25a