Job Description

The Position

Are you passionate about data science and eager to apply your expertise in Machine Learning to contribute to further advancement of our data-driven and AI-enabled Pharma R&D value chain?
We are looking for a Senior Machine Learning Scientist with a broad technical skillset. In this position, you will contribute to turning an ever-increasing amount of diverse data from insights over prototypes to productionized tools that support the discovery and development of novel therapies.
As part of our growing Computational Innovation (@computationalinnovation, CI) function at Boehringer Ingelheim, you will step into a world of digital innovation, data-driven approaches and cutting-edge computational science. You will be part of a global, multicultural, and open-minded team working at the interface of AI/ML and biomedical research.
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This position has a hybrid setup with approximately 2-3 days per week on site.
This position is part time eligible with 80 %.

Tasks & responsibilities

• In your new role you will collaborate closely with scientists and domain experts on challenging problems in drug discovery, translating scientific questions into data-driven approaches, leading project sub-streams related to AI/ML.
• You will develop and evaluate Machine Learning and Data Science prototypes, leveraging modern ML/DL paradigms and high-quality data (e.g. imaging, clinical, and other biomedical data modalities).
• Furthermore, you will work in cross-functional teams with data engineers, software developers and other experts to drive the implementation of scalable solutions.
• You will identify promising data science and analytics prototypes and help transform them into scalable AI/ML solutions that create continuous value for Pharma R&D.
• Moreover, you will anticipate and internalize trends in Machine Learning/AI, including input from other industries, explore disruptive technologies and explore opportunities for transformative use cases in pharma R&D.
• You will collaborate with project teams and stakeholders to deliver AI/ML workstreams and contribute to advancing the discipline through networking, collaboration, experimentation and best-practice dissemination.

Requirements

• PhD in computer science, mathematics, physics, life sciences or a related field with several years of relevant professional experience
• Strong expertise in Machine Learning, Deep Learning and Data Science with profound experience in common Python-based tool stacks
• Experience in modern ML paradigms such as foundation models or multimodal learning with exposure to biomedical data domains as well as experience with modern software development practices, cloud-based computing environments and ML deployment concepts
• First experiences with MLOps concepts and production-oriented AI/ML development, combined with the ability to quickly learn new scientific topics and apply AI/ML approaches effectively
• Experience collaborating across functions and working with diverse stakeholders to deliver data-driven solutions and first experience in leading cross-functional project sub-streams
• Demonstrated ability to anticipate AI/ML trends and translate them into actionable opportunities, combined with a strong problem-solving mindset, curiosity and a collaborative, can-do attitude

As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.
Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.

Ready to contact us?

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com

Recruitment process:
Step 1: Online application - The job posting is presumably online until August 11, 2026. We reserve the right to take the posting offline beforehand. Applications up to August 4, 2026 are guaranteed to be considered.
Step 2: Virtual meeting beginning to mid of August, 2026
Step 3: On-site interviews end of August, beginning of September 2026

Please submit your application documents in English.