BioSS 02-19 - Statistician with Responsibility for Business Development

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Posted: 24/05/2019 11:37
Start Date: Not Available
Salary: Circa £31,365 (D) or Circa £38,250 (E)
Location: Edinburgh
Level: Hutton D
Deadline: 13/06/2019 23:59
Hours: 37
Benefits: Generous
Job Type: Permanent

BioSS has an international reputation for methodological development in statistics, mathematical modelling and bioinformatics.  BioSS offers a stimulating working environment, with over 40 staff and students at four locations, collaborating on applications in plant science, animal health & welfare, ecology & environmental science, and nutrition & human health. 

BioSS has a new position available to support income generation activities across the organisation, and to act as an applied statistician in an area related to the Scottish Government-funded Strategic Research Programme and the scientific activities of the SEFARI ( institutes.  The post represents an excellent opportunity for a statistician with interests in business development and project management.  In statistical terms, the post-holder would collaborate with scientists and other quantitative experts within BioSS and elsewhere.

Grade and starting salary

This post will be offered at Hutton Grade D circa £31,365 or at Hutton Grade E circa £38,250 for candidates demonstrating greater experience and who can clearly demonstrate their ability to make an immediate impact.

This position will be based at the BioSS Edinburgh site.

All individuals wishing to work within the UK must be entitled to do so before they can be employed.

Our ideal candidate for this position will have:

  • a PhD in statistics or another discipline with a large statistical component, or a relevant MSc with additional experience
  • experience of collaborative working at the interface between statistics and biological sciences, corroborated by co-authored papers in scientific journals
  • the ability to interact positively, effectively and confidently with non-statisticians in formal and informal situations

In addition, an appointment to Grade E would require:

  • evidence of independence in developing research collaborations
  • managerial responsibility for income generation
  • positive track record in leading applications for funding

More information on the detail of the post and the post holder can be found below in the job description.

Main Purpose of Job 

  • Providing support to the BioSS Horizon Scanning Group on business development activities
  • Provision of statistical support to existing BioSS projects
  • Development of a portfolio of personal research in applied statistics, motivated by quantitative problems encountered in collaborative projects
  • Contribute further to revenue generation via own portfolio of external projects

Main duties of post holder

  • Identifying appropriate funding opportunities appropriate for the quantitative skill sets within BioSS
  • Taking a pro-active role in promoting BioSS’s capabilities to current/potential funders
  • Providing statistical expertise to the INVITE H2020 project
  • Developing an area of personal research in one of BioSS’s three research themes
  • Contributing to the development and delivery of BioSS training courses for scientists
  • Delivering on externally funded projects and BioSS consultancy



  • MSc in statistics plus sufficient relevant work experience
  • Experience of collaborative working at the interface between statistics and biological sciences
  • Experience in the analysis of varied data types
  • Experience in development and implementation of modern statistical methods evidenced through co-authored scientific papers
  • Experience in applying for funding, possibly as part of a team
  • Evidence of ability to interact positively, effectively and confidently with collaborators in formal and informal situations
  • Strong networking skills
  • Evidence of ability to manage own time efficiently
  • Ability to work independently
  • Evidence of enthusiasm for seeking funding and interest in business development
  • Enthusiasm about development and application of statistical methods
  • Strong general statistical skills
  • Good programming ability in statistical packages such as GenStat or R
  • Ability to integrate disparate sources of information, formulate and communicate ideas
  • Good written communicator; willingness and ability to give spoken presentations presenting technical methods and results to non-quantitative audiences


  • PhD in statistics or related discipline plus some relevant work experience
  • Track record of research and/or collaboration evidenced by scientific papers, preferably in a field relevant to SEFARI
  • Experience of project management
  • Experience of seeking and obtaining funding
  • Evidence of experience in networking and in pitching to potential funders about funding opportunities

Further information on the above post, including how to apply, is available on the BioSS website at  The interview date is currently scheduled for Wednesday 26th June 2019.  Potential applicants may contact Mark Brewer or +44 (0) 1224 395125 in confidence to discuss the post.

We will not consider the use of 3rd party recruitment agencies for the sourcing of candidates for this position.    

The James Hutton Institute is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

As they are under-represented in this area of our work we would particularly welcome applications from women.

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