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Working Student (all genders) in Regulatory & Computational Toxicology

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Working Student (all genders) in Regulatory & Computational Toxicology

vor 7 StundenForschungWerkstudent
Vor Ort

Kurzübersicht

Sprachen

Englisch erforderlichDeutsch erforderlich

Erforderliche Skills

SAP EH&SExcelPythonWordRPowerPoint

Stellenbeschreibung

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 rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

As a Working Student (all genders) in Regulatory & Computational Toxicology at our company, you will support daily operations within the Hazard Communication and Chemical Regulations team. You will join a global network of experts from different fields, namely Regulatory Toxicology, Computational Modelling, Risk Assessment, and Life Cycle Assessment. Our Life Science portfolio includes over 100,000 unique neat chemicals and hundreds of thousands of mixtures, and you will support their regulatory compliance globally.

Your Role

  • Conduct thorough searches for toxicological data and maintain this information in our SAP EH&S system.
  • Support the new product introduction process for Life Science products.
  • Contribute to our dynamic Life Science business in the Regulatory Affairs domain.

Who You Are

  • Currently pursuing studies in Chemistry or a related field; a completed B.Sc. is an asset.
  • Background in Toxicology.
  • Strong interest in working with data from diverse sources; familiarity with SAP EH&S.
  • Proficient in English and German (C1 level).
  • Results-driven, collaborative, and purposeful in your approach.
  • Proficient with Microsoft Office (Excel, Word, PowerPoint).
  • Familiarity with data management and analytics tools.
  • Basic programming skills (e.g., Python, R) are a plus for data analysis tasks.

What we offer: 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!
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