Student Internship in Computer-Aided Drug Design (as soon as possible, 3-6 months)

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).

The Computer-Aided Drug Design (CADD) team in the Molecular Design and Chemical Biology department, located in Basel, is an integral component of interdisciplinary project teams which assess biological targets, identify pharmacologically active small molecules, and guide their optimization towards differentiated medicines for unmet medical needs.

During the internship, you will have the following responsibilities:

·  Apply and refine computational approaches to mine experimental crystal structure data
·  Conduct statistical analyses of protein-ligand interaction datasets
·  Compile a written report of your findings and prepare them for publications (oral and written)

·  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 an enrolled graduate student (Masters or PhD) with previous exposure to computational chemistry, molecular modeling, cheminformatics, crystallography, or a related field. As the ideal candidate, you are highly motivated, possess well-developed communication skills, meet high scientific standards, and are proficient in English.

Moreover, you are/have:

·  Familiar analyzing protein-ligand crystal structure and possess a good understanding of intermolecular interactions
·  Experience in data mining and workflow automation
·  Good programming skills (Python knowledge is a plus)
·  A strong drive to answer scientific questions and solve problems independently
·  A keen interest in gaining experience in industrial drug discovery research

Interested applicants should submit a motivation letter and Curriculum Vitae including publications and references. The internship can start as soon as possible – please clearly indicate your preferred starting date and duration of the internship on your motivation letter.

Due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents.

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