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Computational Pharmacokinetics Scientist (12months FTC)

Date: 17 July 2019 to 31 December 2019

Join our team

What is the role?

The opportunity now exists for a highly motivated scientist to work with our research team to develop new computational components that enhance our predicative capability of pharmacokinetic endpoints in silico.

Working in a small project team and reporting to one of our science team leaders, the successful candidate will use their modelling and programming skills to implement and optimize QSARs and build molecular descriptors and other reusable components using object-oriented approach.

Who are we looking for?

Educated to degree level or equivalent in an appropriate physical or life science discipline, preferably with a PhD (or equivalent experience), you will be experienced in building high quality QSAR models and possess a strong understanding of the underlying principles and practices

Experience in a programming language such as Java or Python will be needed as well as a solid understanding of the essential mathematics relevant to pharmacokinetic models.

Applicants will also need to demonstrate a fundamental understanding of the biology of pharmacokinetic endpoints. A Good understanding of machine learning methods will be needed and an aptitude for understanding chemical structures and their representation would be advantageous.

  • Summary:

    Computational Pharmacokinetics Scientist (12months FTC) now required in Leeds!

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© 2019 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

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