|CCL 16.11.18 Post Doc in Computational Biology / Computational Chemistry|
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Fri Nov 18 11:25:08 2016
Subject: 16.11.18 Post Doc in Computational Biology / Computational Chemistry
This position is funded by a Bayer Life Science Collaboration grant, which promotes state-of-the-art innovative research within the global Bayer organization. The successful applicant will be part of a cross-organizational team, working on applying deep learning within the R&D organization on our existing big data sets. She / he will contribute to the implementation of a deep learning platform by providing the link between the wet lab scientists / data and deep learning experts. Your tasks and responsibilities Visiting Scientist (2-year appointment) Actively contributing member of cross-organizational team, including scientists from both our Pharma and Crop Science divisions across Europe. Contribute to the implementation of a deep learning platform by providing the link between toxicologists and deep learning experts Make and implement recommendations on improvements of the computational pipeline used for data analysis of crop science and drug development compounds Pro-actively and regularly report results and updates to the project lead and during project meetings Who You Are ? PhD degree in bioinformatics, computational biology, computational chemistry, computer science or related fields Experience with state of the art machine learning methods and model selection concepts Excellent programming skills in Python are essential, additional skills in R or C would be of advantage Ideal candidates would have expertise in handling, processing and analyzing toxicity related data sets Proficiency in writing industrial-grade code Interest in performing highly versatile integrative data analyses Experience using a Linux high performance environment A background in Biology or Toxicology is a plus Previous experience with deep learning would be of advantage Willingness to travel regularly Based in Sophia Antipolis (France) Fluent in English, good command of French and/or German is a plus
Contact: Please send cover letter & CV to Marie-Frantz Figaro-Bessac: marie-france.figaro-bessac*_*bayer.com In your correspondence, please include in the email object : REF:DEEP1NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
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|Modified: Fri Nov 18 16:25:08 2016 GMT|
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