Computer-Aided Drug Design (CADD) Scientist

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 cheminformatics and molecular modeling 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.

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 medicinal chemistry, computational chemistry, or molecular modeling and also 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
·  Good understanding of drug discovery principles including the fundamentals of medicinal chemistry, assay technology and disease biology
·  Strong ability in formulating clear scientific hypothesis and articulating them during constructive dialogues with multi-disciplinary teams
·  Proficiency in cheminformatics approaches including model building and statistical analysis
·  Appetite for molecular design fostered by an sound understanding of 3D concepts (protein-ligand interactions, small molecule conformations, …)
·  Experience in mining data, automate workflows, and implement novel computational tools
·  Excellent command of at least one programming language (Python, C, C++, Java, …)
·  A track record of scientific contributions illustrated by publications and/or patents

Interested applicants should submit a cover letter, a curriculum vitae including publications and references.

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