Scientist – Computer-Aided Drug Design (CADD)

Job description

  Job facts

As a major element of Roche Pharma Research and Early Development (Roche pRED), the Therapeutic Modalities (TMo) function is responsible for creating innovative drug candidates for all Roche pRED Discovery and Translational areas (DTAs), spanning small molecules, biologics and nucleic acid-based therapeutics. As part of TMo, the Chemical Biology (CB) department focuses on the success of Roche's preclinical pipeline by delivering leading edge science through strong expertise in high-throughput, DNA-encoded and phenotypic cell-based screening platforms, translational protein science, enzymology, biophysics, stem-cell platforms, structural biology, and computer-aided drug discovery (CADD).
As a CADD scientist you will:
·  Be an active member of drug discovery teams and a key contributor to their successes
·  Devise and implement testable hypotheses to formulate medicinal chemistry design strategies and inform biophysics and enzymology driven approaches
·  Integrate experimental data and apply computational approaches to generate knowledge and insights at the molecular level
·  Conduct scientific research in specific molecular modeling or cheminformatics areas applicable to drug discovery
·  Contribute to the overall CADD strategy and play an active part in its implementation
·  Maintain an internal and external scientific presence by authoring significant scientific presentations and publications

·  Who we are

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 8,500 people from approximately 90 countries work in Basel, which is one of Roche`s largest sites. Read more .

Roche is an equal opportunity employer.

Desired profile

Who you are

You're someone who wants to influence your own development. You're looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.

As the ideal candidate, you are highly motivated, possess excellent communication skills, enjoy working in multidisciplinary teams and are fluent in English. You have completed your Ph.D. in computational chemistry, molecular modeling, cheminformatics or a related field and, in addition, you bring the following set of skills and expertise:
·  At least 3 years of experience in the pharmaceutical industry or postdoctoral experience in the drug discovery context
·  A track-record of working in teams including scientific publications relevant to drug discovery
·  Proficient in articulating clear scientific hypotheses and in sharing them with scientists of other disciplines
·  Good knowledge of medicinal chemistry principles, DMPK principles, disease biology and assay technologies
·  Evidence of creative application of 3D molecular design concepts combined with a practical understanding of small-molecule conformations and protein-ligand interactions
·  Proficiency in cheminformatics approaches
·  Well-practiced ability to mine data, automate workflows, and implement novel computational tools

Interested applicants should submit a cover letter, a curriculum vitae including publications and references as well as a short description (max. 1 page including, as appropriate, max. 1 figure) outlining how they employed a computational approach to solve a drug discovery related question.
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