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BACKGROUND

One of the world's most prestigious pharmaceutical companies is expanding their genomics unit in Oxford and seeking a dynamic and highly talented Senior Systems Biologist to push innovation and drive their early phase drug discovery. This is an exciting opportunity to be play a pivotal role in the development of new treatments for chronically ill patients. The Senior Systems Biologist will be working on experimental, early phase discovery and requires a passionate, highly creative and mathematical mind, as well as exceptional leadership skills and outstanding technical ability.

RESPONSIBILITIES

Senior Systems Biologist responsibilities would be:

Working with large, complex datasets, developing and implementing 3D computational and predictive models
Working with cutting edge methods such as single-cell sequencing and CRISPR
Make predictions about novel targets
Interact across departments with internal stakeholders from Bioinformatics, Discovery Biology, Pharmacology etc.
Strengthen external collaborations with academic community

REQUIREMENTS

Requirements of the position:

PhD or Post-Doc in Computational Biology, Mathematics, Physics, Machine Learning, Statistical Genomics or a related discipline
Expertise in applying machine learning/modelling techniques to complex biological data
A background in systems biology, systems pharmacology or QSP is desirable
Strong understanding of biology and drug discovery processes
Dynamic, innovative, energetic personality that enjoys a fast-paced environment and wants freedom for creativity
Ability to work under pressure, delivering projects under strict timelines
Leadership skills, mentoring experience

COMPENSATION

This is a fantastic opportunity with a leading global pharmaceutical company that offers a flexible and collaborative work environment, where publishing is actively encouraged. Employees have access to cutting edge technology and have the freedom for creative intellectual independence.

HOW TO APPLY

For more information on this opportunity, send your CV to Emilie Francis at efrancis[at]pararecruit.com. For an informal chat, call Emilie on 0121 616 3477.

Key words: Data Science, Computational Biology, Data Modelling, Drug Discovery, Genomics, Data Modeller, Computer Science, Oxford, London, Cambridge, Pharmaceuticals, Machine Learning, Artificial Intelligence, Systems Biology

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