Research Scientist - Cheminformatics

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Date: Feb 14, 2019

Location: Slough, Berkshire, GB

At UCB everything we do starts with a simple question: “How will this make a difference to the lives of people living with severe diseases?” We do that by connecting with patients and their families around the world living with the physical and social burdens of severe disease of the immune system and the central nervous system. Those connections offer new perspectives, drive innovation, and offer the hope of a new generation of therapies that will help to transform lives.

 

Role Overview

We are seeking a self-motivated candidate to join our Computer-Aided Drug Design (CADD) team within Global Chemistry as a cheminformatics specialist. This position is located at our UK research site in Slough, UK.

 

Main Accountabilities

Independently and skillfully execute cheminformatics work with a high level of proactivity and can-do attitude. Work as a team member alongside therapeutic project colleagues in Chemistry and in other departments. Actively seek to understand project-wide issues and contribute ideas openly and clearly.

 

Expand your knowledge of cheminformatics and computational chemistry through appropriate reading and attendance of courses and external meetings. Proactively inform colleagues of these advances through discussion and presentations. Actively seek to broaden your understanding of other disciplines and develop your knowledge of the drug discovery process.

 

Essential Requirements

  • A PhD (or equivalent) in cheminformatics, computational chemistry or a related field.
  • Experience of using programming languages such as Python and C++.
  • Technical expertise in developing cheminformatics protocols using for example, Pipeline Pilot, and scripts using toolkits such as RDKit, CDK and OEChem.
  • Ability to communicate effectively in English, both verbally and in writing.

 

Desired Skills & Experience

  • Formal education in organic chemistry.
  • The application of computational techniques to drug discovery projects.
  • Machine learning and advanced statistics applied to molecular informatics.
  • Data science programming libraries such as Pandas, Scikit-learn, and Keras.
  • Effective communication and interpretation of experimental results using advanced data visualization.
  • Advanced cheminformatics, computational chemistry and molecular modeling approaches.
  • An understanding of modern medicinal chemistry.
  • Knowledge of relational databases and chemical cartridges, as well as medicinal chemistry databases such as ChEMBL.
  • Industry experience within a pharmaceutical or agrochemical company.

 


Job Segment: Scientific, Chemistry, Organic Chemistry, Research Scientist, Engineering, Science, Research

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