Principal Scientist / Computational Chemist - all genders (limited contract until 31.08.2027)

About the job

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

As Computational chemist within our Computer-Aided Drug design team, you’ll drive the design of novel drug molecules by applying state-of-the-art AI and computational methods within multidisciplinary teams across therapeutic areas.  Ready to get started?

Main responsibilities:

Computer-Aided Drug Design (CADD) enables the systematic analysis of large-scale data to build predictive models that accelerate the drug discovery process. In this role, the CADD expert will leverage deep expertise and passion to impact drug discovery projects — from virtual screening to  the design of novel molecules in lead optimization. The CADD expert will work within interdisciplinary teams to develop, validate, and apply cutting-edge CADD & AI technologies, collaborating closely with medicinal chemists, computational chemists, and biologists across all therapeutic areas. This is a dynamic, collaborative position requiring the ability to manage and contribute to multiple projects simultaneously.

• Leverage expertise in data science and machine learning to systematically analyze large-scale datasets for drug design applications
• Apply broad expertise in computer-aided drug discovery  for the identification and optimization of novel therapeutic molecules
• Contribute actively to multidisciplinary drug discovery project teams across therapeutic areas
• Engage as an active member of the broader computational and medicinal chemistry community
• Communicate results clearly and effectively to experts across diverse scientific disciplines
• Present methodologies and analytical findings to both scientific peers and non-specialist stakeholder

About you

• A PhD with a track record of productivity in the areas of computational chemistry, artificial intelligence, machine learning, medicinal chemistry or a relevant scientific discipline
• ≥3 years of professional experience in in-silico drug discovery
• Expert knowledge in computational drug design
• Expertise in computational method development and implementation
• Hands-on experience in systematic analysis of big data and development of predictive models for drug discovery
• Sound background in medicinal chemistry
• Strong interpersonal, organizational and communication skills and team player/collaborative spirit
• Leadership skills for internal projects and supervision of external collaborations.
• Strong passion for science, and ability to work well within interdisciplinary teams

Why join us?

• Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs. 

• Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science. 

• Help improve the lives of millions of people globally by making drug development quicker and more effective. 

• Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs. 

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