PostDoc Agentic AI and Predictive Technologies (Biberach, Deutschland, Baden-Württemberg)
About this opportunity
The Position
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.
Tasks & responsibilities
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.
Requirements
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 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 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.
Discover our Biberach site: xplorebiberach.com
Job details
How this role compares
Computed from every other active Drug Discovery & Preclinical Research role in our database, not just this employer's listings.
We currently track 131 comparable Intern/Fellow/Postdoc Drug Discovery & Preclinical Research roles across 33 biopharma companies.
Salary context
47 of 131 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 131 comparable roles
+ 5 more countries
Seniority mix
131 of 131 peers have a known seniority level
Therapeutic area mix
20 of 131 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
Or follow a whole field: get every new Drug Discovery & Preclinical Research job in Germany, and choose locations and companies.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.