Role overview
- Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.) with long-term relevant professional experience
- Demonstrated comprehensive knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex situations that represent new challenges and for which project and therapeutic knowledge is not given
- Excellent knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information
- Advanced understanding of cutting-edge statistical concepts related to Data Science
- Comprehensive working knowledge of broad variety of aspects of relevant software languages.
What you'll work on
- In your new role, you will lead and oversee designing, transforming, analyzing and reporting of complex early Oncology clinical trials, projects or additional R&D data sources such as registries and real world database tailored to specific use cases, projects, or assets.
- You will develop and implement fit-for-purpose statistical designs and Go/NoGo decision frameworks through simulations and scenario planning to ensure high-quality evidence generation.
- In addition, you will apply advanced statistical methodologies, stay abreast of internal and external developments in data science, and translate emerging insights into innovative approaches for early Oncology development.
- You will foster innovative digital strategies to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models.
- Moreover, you will present compelling, validated narratives on complex data‑science topics to Biostatistics colleagues and cross‑functional stakeholders within and outside of Boehringer Ingelheim.
- You will guide colleagues, internal and external customers, and external providers on data science related tasks, while coordinating cross‑functionally with programming and data‑management teams and supporting the clinical drug‑development process where applicable.
- Additionally, you will participate in cross‑functional (external) working groups, contribute to regulatory interactions by ensuring statistical rigor, collaborate cross-functional as a team player, and liaise with late‑phase Oncology Biostatistics and Data Science teams to leverage synergies and share knowledge.
Tags & focus areas
Used for matching and alerts on DevFound Parttime Fulltime Data Science Ai