Description
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