Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our diverse mix of people, customers, patients, and planet. That's why we are always looking for curious minds that imagine the unimaginable with us.
We offer the opportunity for a master thesis in the field of excipient research and lab automation. By joining our Excipients R&D as part of the Life Science sector, you will be part of a cross‑disciplinary team addressing a broad range of small molecules, biomolecules, and novel modalities.
With your thesis embedded in an ongoing research project focusing on predictive formulation and lab automation, you will contribute to an AI‑based offering that will help customers bring their molecules into the clinic faster. Your tasks will be the further development and evaluation of a key analytical method designed to enable predictions of solid formulation properties.
Besides performing experiments using state‑of‑the‑art analytical methods, you will interpret data and design your studies in close collaboration with experts in the field and using the latest literature.
Duration: 6 months, starting from August
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to sparking discovery and elevating humanity!
#J-18808-LjbffrVeröffentlichungsdatum:
22 Jul 2026Standort:
DarmstadtTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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