Job
In this role, you will develop predictive models and hybrid digital twins for pharmaceutical manufacturing to optimize processes and support technology transfers, utilizing AI and advanced analytical tools.
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Job technologies
Your role in the team
- 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 a successful candidate, you will work in a highly motivated, small team of experienced prediction technology experts, directly integrated into day-to-day development.
- You will be able to apply your academic knowledge and further expand 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.
- 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 point of contact for cross-functional collaboration with formulation scientists, process engineers, manufacturing experts, and data scientists in multidisciplinary project teams.
Our expectations of you
Qualifications
- 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.
- 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
- Experience with scientific programming languages such as Python and the ability to work with complex datasets and computational tools.
- Experience with Large Language Models (LLMs), Agentic AI, or multi-agent systems is considered an advantage.
What we offer
- This position is limited to 2 years.
- This position is eligible for part-time work at 80%.
- 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.
Benefits
Health, fitness & fun
Topics you will work on
Job locations
About your employer
For over 130 years, Boehringer Ingelheim has been probing, creating and producing novel medications with high therapeutic advantages for people as well as animals. As a family-run pharmaceutical enterprise we plan long-term and consequently invest heavily in research & development. We take great pride in tackling some of the biggest health issues our world faces today. Our vision “Creating Values through Innovation” has always shaped our collaboration while serving both as requirement and momentum at once.
- 1885
- Established Company
- Onsite, Hybrid
- Pharmaceutical Sector, Chemical Industry, Biotech
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