Senior Principal Clinical Data Scientist

(Senior) Principal Clinical Data Scientist The Position

Join us at the forefront of innovation in early Oncology clinical development, where your expertise as a (Senior) Principal Clinical Data Scientist will shape the future of clinical drug development.

In this pivotal role, you will drive strategic planning and execution across the entire analytics spectrum—from descriptive and diagnostic insights to predictive and prescriptive modeling—leveraging clinical trial data, registries, and real‑world data. You will represent biostatistics at the asset level, coordinating and collaborating closely with programming and data management to ensure scientific excellence. Working in a highly collaborative, cross‑functional environment, you will influence trial design, assess clinical trial strategies and development scenarios, as well as help unlock new possibilities for patients in need.

Ready to make a meaningful impact? Apply now and help us advance the next generation of Oncology therapies.

This position can be filled in Ingelheim or Biberach.

This position has a hybrid setup with approximately 1-2 days per week on site.

This position can be filled either as Principal Clinical Data Scientist or Senior Principal Clinical Data Scientist.

This position is part time eligible with 80%.

• 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/No
  
  Go 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.

Additional tasks for the Senior role

• You will serve as the Subject Matter Expert (SME) and Process Lead for designing, transforming, analyzing, and reporting complex early Oncology clinical trials and other challenging R&D datasets such as registries and real‑world databases.
• Moreover, you will lead cross‑functional BI working groups as well as drive or plan key data‑science aspects.
• You will identify emerging trends and advancements in data science within and outside Boehringer Ingelheim to proactively shape innovative analytical practices.
• In addition, you will foster advanced digital and predictive solutions, including intelligent optimization approaches, and, where applicable, support the clinical drug‑development process up to the Therapeutic Area or asset level.

• Completed university degree from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.) with longstanding relevant professional experience or alternatively Doctoral Degree (PhD) with several years professional experience, preferably in the pharmaceutical industry, CROs, regulatory authorities or academic institutions. Working experience might be partially compensated by broad and deep…