100% / Available: immediately or upon agreement

The Division of Computational Pharmacy, Department of Pharmaceutical Sciences, is offering a Senior Scientist position to develop and apply cutting-edge computational methodology for drug discovery applications. The division is focused on the development and application of novel computational methods at the interface of deep learning and classical biophysical modeling to address relevant topics in drug discovery ranging from molecular design, high-content screening, docking, free energy calculations, predictive toxicology for therapeutic modalities ranging from small molecules, peptides to small proteins.

Your position

A Senior Scientist position is available to extend ongoing research on the development and application of novel algorithms for drug design combining physics-based modeling with deep neural network concepts. Your responsibilities will include the development, implementation and/or application of novel computational methods for drug discovery, actively participating in the supervision of MSc and PhD students, actively participating in collaborative drug design projects, supporting the applications for grants, and taking a lead role in the molecular modeling practicum for BSc students in Pharmaceutical Sciences.

Your profile

• PhD in the fields of Physical/Computational Chemistry, Computational Pharmacy, Computational Sciences or related fields.
• Several years of PostDoc or industry experience in Computational Drug Design
• Publication track record in relevant top-tier academic journals (e.g. JCTC, JCP, JACS).
• Good programming skills.
• Strong experience in Computational Drug Design.
• Experience in developing and/or applying deep neural network concepts is desirable.
• Teaching experience and leadership experience is desirable.
• Fluent verbal and written communication skills in English.
• Highly motivated, interactive team player.

We offer you

• Senior Scientist position.
• Opportunity to work with and develop emerging technologies in the field of Computational Drug Design.
• International and collaborative research environment.
• Possibility to increase your academic profile and supervise junior researchers.

• Letter (max. 1 page) highlighting motivation, scientific experience and skills
• CV
• Publication list
• Short summary (including citation) to 2-3 most relevant publications
• Diploma of PhD degree
• Contact details of at least three academic references