Data Scientist

Data Scientist

CureVac

Tübingen, Wiesbaden or Amsterdam

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.

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