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An opportunity has arisen in our Oxford based Research & Development team for a Computational Biologist. Reporting to our Head of Data Analysis, you will play an integral role in the Computational Biology team, being involved in the provision of data analysis processes and development to support R&D and broader organisational data analysis requirements.

 

Your duties will include:

  • Contributing to data analysis workflows for NGS data including, developing, testing, maintaining and validating analysis of NGS data
  • Collaborating on the design and implementation of new analytical methods for NGS data and delivering high-quality prototypes within agreed specifications and timelines
  • Implementing optimal testing and validation strategies for newly designed methods
  • Keeping up to date with the latest NGS technologies, strategies, associated methods and tools
  • Integrating NGS data analysis workflows into existing and future company products
  • Providing first line NGS data analysis support to R&D and performing NGS data analysis deriving from both internal and external projects. Developing prototype software to support these activities
  • Supporting infrastructure projects with mid to long term deliverables
  • Exploring novel tools and approaches and sharing expertise with the rest of the team
  • Working with the team on process improvements
  • Liaising with customers as appropriate
  • Trouble-shooting for all NGS data analysis related matters
  • Acting as a champion and owner of results for projects/areas of responsibility

 

You will:

  • Be qualified to a minimum of MSc, or equivalent, up to a PhD in Computer Science, Computational Biology and Bioinformatics (essential) with a good understanding of molecular biology (desirable)
  • Demonstrable experience of using computational tools and data analyses particularly in NGS (essential) in a commercially led environment working to ISO standards (desirable)
  • Have strong programming skills in Python, Java or R with familiarity with Agile development methodology. Proficiency in more than one programming language for analyzing genomic data (desirable)
  • Have strong Linux/Unix skills, including bash and command line tools (essential) with experience working with Unix system administration (desirable)
  • Have good knowledge of code version control
  • Have ability to work independently and collaboratively as part of a multi-disciplinary team
  • Demonstrate good problem-solving skills and attention to detail
  • Be a strong team player with excellent attention to detail
  • Be an effective communicator both in writing and verbally
  • Have strong organisational and time management skills

A background in numerical/analytical computer methods, experience with a range of open-source bioinformatics software with familiarity with bioinformatics databases and data format is also considered to be desirable for this role.

 

In return you will receive:

  • Competitive salary
  • Pension Scheme (10% non-contributory)
  • Private Health Insurance
  • Private Dental Insurance
  • Group Income Protection
  • Group Life Assurance
  • 25 days holiday plus UK bank holidays
  • Flexi-time Scheme
  • High Street Discount Scheme

 

Application is via CV & a one-page covering letter outlining your suitability for the role, salary expectations and notice period. Please note that we will need to establish your right to work in the UK during the recruitment process.

Closing date for applications is 26 November 2021

No agencies please

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