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To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data Scientist (f/m/d) Your Responsibilities: Translate business needs into data analytics/reporting requirements to support decisions and workflows with required information across CureVac’s value chain with specific focus topics in the area of R&D/Clinical or Manufacturing/Supply Chain Apply advanced statistical analysis and predictive modeling techniques to analyze datasets Develop and evaluate statistics and cutting-edge machine learning algorithms & models to make data analysis more efficient Perform large-scale experimentation to identify hidden relationships, trends, and patterns between variables in large datasets Create compelling data visualizations and reports that communicate complex findings and recommendations to non-technical stakeholders, facilitating informed decision-making Share knowledge, best practices, and insights in a growing data analytics community at CureVac Your Qualifications: University degree in computer science, data science, statistics or a related field, or an equivalent qualification Experience in solving data analytics challenges in the Life Science area High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques Strong programming skills in languages such as Python, R, SQL, and ideally experience with MS-Azure-based data science capabilities (e.g., Synapse, Azure ML, Databricks) and visualization (e.g., Power BI, Plotly) Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Strong communication skills, also to non-technical audiences, to guide and inspire Willingness to understand use cases to be enabled by data analytics Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.