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Date: Fri Nov 27 02:36:01 2020
Subject: 20.11.27 Computer-Aided Drug Discovery (CADD) Scientist, Roche, Shanghai
Computer-Aided Drug Design (CADD) Scientist

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 small molecule research within TMo, the
computer-aided drug discovery (CADD) department focuses on the in-silico search for starting points of design campaigns,
design of novel small molecules that have the potential of becoming clinical candidates, creation of novel tools for the
prediction of physicochemical and ADME-Tox properties of those molecules, and multidimensional data analysis within
design projects.

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 global 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 you are

Youre someone who wants to influence your own development. Youre 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
medicinal chemistry, computational chemistry, or molecular modeling and also bring the following
set of skills and expertise:

 Experience in the pharmaceutical industry or postdoctoral research in the drug discovery
context would be a big plus
 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.
 Know-how in cheminformatics approaches including model building and statistical analysis.
 Appetite for molecular design fostered by a sound understanding of 3D concepts (protein-
ligand interactions, small molecule conformations, )
 Experience in mining data, automate workflows, and implement novel computational tools.
 Proficient command of at least one programming language (Python, C, C++, Java, ).
 A track record of scientific contributions illustrated by publications and/or patents.

pls send CV to grace.chen.gc7 _
pls send CV to grace.chen.gc7 _
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