Computational Molecular Design – GlaxoSmithKline – Collegeville, PA

Job ID: 5865
Job date: 2016-08-17
End Date:

Company : GlaxoSmithKline 

Country :

Role : Research Scientist 


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Job Description:
Basic qualifications:

• PhD or equivalent in Cheminformatics, Computational Chemistry, Computational Biology, Physics, Biophysics or Chemistry
• Demonstrated expertise using cheminformatics tools and predictive modeling methods.
• Experience using bioinformatics methods for protein structure prediction and design.
• Experience in molecular modeling, protein structure analysis and small molecule optimization
• Proficient in one or more programming languages (e.g. Perl, C/C++, Java or Python, Ruby)
• Competent working in a Linux/Unix environment
• Demonstrated ability to work in multi-disciplinary matrix teams, displaying excellent interpersonal skills
• Strong organizational and communication skills (both written and oral), with the ability to liaise with scientists and external collaborators at all levels
• Ability to independently review and appraise scientific literature
• Ability to generate conclusion reports, present data in team meetings and participate in writing of abstracts and publications

Preferred qualifications:

• Expertise with molecular simulation and/or quantum chemistry.
• Experience with machine learning methods
• Solid foundation in statistics, experimental design and/or decision theory
• Experience in detailed protein: ligand interaction analysis
• Knowledge of medicinal chemistry

Details:

GlaxoSmithKline is a world leading research-based pharmaceutical company that combines both individual talent and technical resources to create a platform for the delivery of strong growth in a rapidly changing healthcare market. Our mission is to improve the quality of human life by enabling people to do more, feel better and live longer.
An exciting opportunity is available to support and aid in the development of new pharmaceutical products through computational molecular design. The primary focus of this role will be to support the early phase of drug research and development, aid in identifying relevant biological targets, optimization of candidate medicines and derisking of therapies.
Key responsibilities may include:
• Support discovery teams by providing structure-based drug design, QSAR modeling of desired features, and modeling of macromolecular systems.
• Work with group members to develop and apply active learning algorithms and models for the multi-objective optimization of compound properties, affinity and selectivity.
• Work with team members to develop technologies internally, by providing insight into protein families and protein/small molecule interactions that can be incorporated into the experimental design for biological target selection, better compounds for synthesis, and more optimal enzymes for biocatalysis.

*LI-GSK

Contact information:

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