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Bioinformatician: Computational analyses of influenza virus evolution (Fixed Term)


Bioinformatician: Computational analyses of influenza virus evolution (Fixed Term)

 

SALARY:                                 £30,395-£39,609

REFERENCE:                           PF17127

FULL-TIME/PART-TIME         Full-time

CLOSING DATE:                     25 November 2018

The research focus of the group is to design and develop analytical, computational, and mathematical methods to understand the fundamental processes that govern the evolution of influenza viruses. Our research is highly interdisciplinary, involving global collaboration with experimental virologists and clinicians to quantify the selection pressures on influenza viruses to better understand their evolutionary dynamics, and to inform control strategies. 

The Bioinformatician appointed will develop, implement and validate software for the management and analysis of scientific data on behalf of Professor Derek Smith's Research Group, as well as for our collaborating partners, in order to support the delivery of research projects. Curation and management of datasets will also form part of the role, as will training new members of the group in computational methods. The appointment, which is funded by US government agency BARDA, is for a period of up to 20 months starting on 1st February 2019 or as soon as possible thereafter.

Knowledge, Skills and Experience for the Role.

  • Educated to degree level in a Bioinformatics or related discipline
  • Experience in software design, testing, implementation and documentation
  • Experience of data collation, analysis and dissemination of strategic and technical information
  • Experience of software development through the full project life cycle
  • Experience of managing security requirements for sensitive data
  • Knowledge and use of scripting language e.g. Python, Unix/Linux, R
  • Familiarity with Unix or Unix-like operating systems
  • Experience with high-performance computing (HPC) cluster technologies
  • Project planning and resource management skills
  • Data analysis and manipulation skills
  • Knowledge of data curating
  • Excellent communication and interpersonal skills
  • Strong planning and project delivery skills
  • Demonstrate advanced knowledge of bioinformatics involving a critical understanding of relevant theory and/or principles
  • Ambition, drive, strong work ethic, and good interpersonal skills
  • Excellent oral and written communication skills
  • The ability to organise time and work effectively, independently and responsibly in a research team setting
  • Enthusiasm to interact with colleagues in a multi-disciplinary and collaborative environment
  • The ability to engage in continuing professional development and to keep relevant specialist knowledge up to date.

Fixed-term: The funds for this post are available for up to 20 months.

To apply online please visit the University Job Opportunities website for this position, PF17127

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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Software

Please click here then click on the Sign Up link on that page if you would like to use alpha release of our web-based software for making and viewing antigenic maps. Note IE is not supported.

Key Publications

Derek J. Smith, Alan S. Lapedes, et al, (2004). Mapping the Antigenic and Genetic Evolution of Influenza Virus Science 305(5682):371-376.

Colin A. Russell, Terry C. Jones, et al, (2008). The Global Circulation of Seasonal Influenza A (H3N2) Viruses Science 320(5874):340-346.

Björn F. Koel, David F. Burke, et al, (2013). Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolution Science 342(6161):976-979.

J. M. Fonville, S. H. Wilks, et al, (2014). Antibody landscapes after influenza virus infection or vaccination Science 346(6212):996-1000

Colin A. Russell, Judith M. Fonville, et al, (2012). The Potential for Respiratory Droplet–Transmissible A/H5N1 Influenza Virus to Evolve in a Mammalian Host Science 336(6088):1541-1547