Main ResponsibilitiesAlgorithm development and validation, such as machine learning-based classification or prediction algorithms in clinical contextsDevelopment of dashboards or other visualizations for real-time tracking and insight into ongoing study-related activitiesDevelopment, implementation and optimization of codes / programming for statistical analysis according to SAPs as well as creation of TLFsDevelopment of statistical analysis plans, monitoring statistics, sample size (re-) estimation as appropriate for complex clinical research projectsGuide stakeholders in defining their data analysis objectivesDevelopment and implementation of concepts (including utilization of AI) for general process improvements and innovation in clinical researchProvide input for statistical reports and support publications for clinical research projectsAdditional Statistical ActivitiesStatistical and data science consultancy, including model and data interpretation, for Project Managers and Principal InvestigatorsSimplify and translate complex statistical and machine learning analyses for non-technical stakeholders through visualizations and clear summariesMain RequirementsMSc degree in Data Science, Bioinformatics, Statistics, Machine Learning, Computer Science, or closely related fieldStrong programming skills (preferably SAS), with experience in handling large, complex clinical datasetsAdvanced skills in data analysis, including predictive modeling, machine learning, and diagnostic accuracy analysesStrong understanding of statistical concepts and experience applying them in real-world research or clinical data contextsStrong analytical skills with the ability to use data to drive decision-making and measure process successFamiliarity with clinical data standards (e.g., CDISC, SDTM)Knowledge in project management software (e.g., MS Project, JIRA) and clinical data management toolsAttention to detail and reliabilityFlexibility and customer-focused mindsetCollaborative and team-oriented with the ability to work cross-functionallyFluency in EnglishAn interesting and varied job in an exciting and innovative organizationThe opportunity to be part of a highly committed international teamModern infrastructureHigh degree of flexibility regarding working hours and location (depending on operational requirements)Generous package of social benefits, including supplementary vacation days and pension scheme contributionsInternal skills training opportunities and support for continued education
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