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Team Leader Computational Structural Biology

AstraZeneca
Job LocationCambridge
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Position: Team Leader Computational Structural BiologyLocation: Cambridge, UK Competitive Salary & Excellent Company BenefitsAt AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. The Position This is an opportunity for a talented scientist with expertise in Computational Biology, to play an influential role in drug discovery projects at AstraZeneca in Cambridge UK. The Computational Structural Biology (CSB) team has expertise in Structural Bioinformatics, Protein Modelling, protein docking, and in silico prediction of physico-chemical properties of biomolecules. The team is part of the Structure, Biophysics and Fragment Based Lead Generation (SBF) department, that has a leading capability in Crystallography, Cryo-Electron Microscopy, Biophysics, Medicinal and Computational Chemistry. You will collaborate with structural biologists, protein scientists, biophysicists, chemists and biologists across all of AZ’s therapy areas. You will work proactively across multiple projects within an interdisciplinary, collaborative, dynamic environment to help develop high-quality lead molecules, ultimately leading to new clinical candidate drugs.You will lead a team that applies and develops computational methods and platforms to analyse and interpret protein and nucleic acids structures and interactions. You will ensure the CSB team supports our growing capabilities in RNA therapeutics. You will devise innovative approaches, identify and drive improvements and innovations that advance computational biology capabilities to positively impact drug discovery projects. What You Will Do

  • Analyse and interpret protein structure using computational modelling tools; homology modelling and protein-protein docking.
  • Apply molecular dynamics simulations to understand protein dynamics and motions.
  • Generate scripts and workflows to enable automated protein-protein interaction analysis.
  • Establish computational approaches to nucleic acids, in particular anti-sense oligonucleotides, siRNA and RNA as target.
  • Apply artificial intelligence and machine learning to biologics drug discovery.
  • Be part of and contribute to multidisciplinary drug discovery project teams.
  • Lead PhD scientists and evolve the team to extend its impact to a wider spectrum of modalities in drug discovery, e.g. RNA therapeutics.
    • Requirements
  • PhD in Biochemistry, Biophysics, Computational Sciences or a related subject area.
  • Shown strong practical and theoretical knowledge of protein structure, protein bioinformatics and prediction of physico-chemical properties of proteins, in particular antibodies.
  • Skills in computer programming (e.g. Python) and machine learning algorithms.
  • Experience in computational approaches to nucleic acids, in particular anti-sense oligonucleotides, siRNA and RNA as target is highly desired and will be an advantage.
  • Experience in leading a team.
  • Experience of working in a drug discovery environment is highly valued.
  • Good track record of publications in the field.
  • Excellent teamwork and verbal and written communication skills.
    • Interested Apply today!Closing date for applications: 8th July 2020AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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