PostDoc Agentic AI and Predictive Technologies

Boehringer Ingelheim is seeking a highly motivated Postdoctoral Research Scientist to advance the application of Artificial Intelligence (AI) Agentic AI systems and predictive computational technologies in late-stage pharmaceutical development. The position focuses on transforming the development of solid oral dosage forms through the integration of mechanistic modeling hybrid digital twins advanced analytics and autonomous AI-driven development workflows.

As successful candidate you will work in a highly motivated small team of experienced prediction technology experts directly integrated into daily development business. You will be able to integrate your academic knowledge and further broaden your expertise. The work will be at the intersection of pharmaceutical sciences process engineering data science and artificial intelligence. The overall objective is to establish next-generation computational frameworks that accelerate process understanding optimization scale-up technology transfer and commercial manufacturing readiness.

This role provides a unique opportunity to shape how AI and autonomous scientific agents are applied across the pharmaceutical development lifecycle and to contribute to the future of digital and data-driven CMC development.

This position is limited for 2 years.
This position is part time eligible with 80 %.

This Position is limited for 2 years.

Note: To make it easier to find our job advertisements we use the usual designation postdoc. Of course this advertisement is not only addressed to applicants directly after completing their doctorate but to all qualified candidates.

• One of your key responsibilities will be to develop predictive models and hybrid digital twins for pharmaceutical manufacturing processes.
• In regard to process understanding and optimization you will apply mechanistic modeling machine learning and advanced analytics to support scale-up and technology transfer activities.
• Moreover you will design and implement Agentic AI and multi-agent systems to support scientific decision-making experimental planning knowledge extraction and process optimization.
• In addition you will evaluate emerging AI technologies and identify opportunities for their application in pharmaceutical development.
• Furthermore you will generate scientific insights that contribute to improved process performance robustness and efficiency across development and manufacturing.
• You will be a contact person for cross-functional collaboration with formulation scientists process engineers manufacturing experts and data scientists in multidisciplinary project teams.

• PhD in Pharmaceutical Engineering Chemical Engineering Process Systems Engineering Data Science Computer Science or a related scientific discipline.
• Strong expertise in at least one of the following areas: pharmaceutical process development mathematical modeling machine learning and artificial intelligence or process systems engineering.
• Experience with scientific programming languages such as Python and the ability to work with complex datasets and computational tools.
• Ability to collaborate effectively in multidisciplinary and international research teams.
• Fluent English communication skills; willingness to learn German.
• Knowledge of pharmaceutical manufacturing processes and familiarity with mechanistic data-driven or hybrid modeling approaches. Experience with Large Language Models (LLMs) Agentic AI or multi-agent systems is considered an advantage.

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 cases of equal qualifications such applicants will be given preferential consideration in the selection process.

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:

Recruitment process:

Step 1: Online application - The job posting is presumably online until November 17 2026.
Step 2: Virtual meeting in the period from November 16 until Nov. 20 2026.
Step 3: On-site interviews beginning calendar week 50.

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