BioSS 03-19 - Statistician_ Human Health and Nutrition Applications

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Posted: 28/08/2019 15:52
Start Date: Not Available
Salary: c£31,365 band D c£38,250 band E
Location: Aberdeen
Level: Hutton D
Deadline: 27/09/2019 23:59
Hours: 37
Benefits: Generous
Job Type: Permanent

BioSS has an international reputation for methodological development in statistics, mathematical modelling and bioinformatics.  We offer 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 human health and nutrition.

 We are seeking candidates to join a substantial team of BioSS statisticians and mathematical modellers to further develop our existing strengths in the subject area of human health and nutrition.  The post-holder will work with scientists at the Rowett Institute, University of Aberdeen, which plays a major role in UK research capability in human health and nutrition.

The post, based in Aberdeen, represents an excellent opportunity for an applied statistician interested in both contributing to projects across a stimulating mix of human health and biological applications, and further developing their methodological expertise.  In addition to working closely with colleagues in BioSS, the post-holder will work with and grow our extensive collaborative network of statisticians, mathematicians and other quantitative experts working in numerous areas of biology.

Our ideal candidate for this position will have:

  • a PhD in statistics or another discipline with a large statistical component or 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; and
  • the ability to interact positively, effectively and confidently with non-statisticians in formal and informal situations.

In addition to the above an appointment to Grade E would require:

  • Evidence of independence in developing research collaborations.
  • Evidence of having held managerial responsibility for income generation.
  • A positive track record in leading applications for funding.
  • PhD in statistics or another discipline with a large statistical component and relevent experience

These additional skills will allow the individual to lead on funding applications with experience in establishing scientific collaborations. 

All individuals wishing to work within the UK must be entitled to do so before they can be employed.  Further information on the above post, is available on the BioSS website at  Closing date is 5pm GMT Friday 27th September 2019; the interview date is currently scheduled for Wednesday 9th October 2019.  Potential applicants may contact Dr Graham Horgan ( tel +44 (0) 1224 438678 in confidence to discuss the post.

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

Main Purpose of Job

  • Provision of statistical expertise to collaborative research projects in Human Health and Nutrition.
  • Seeking and applying for funding, including from UKRI and related funders.
  • Development of a portfolio of personal research in applied statistics or at the interface between statistics, mathematical modelling and bioinformatics, motivated by quantitative problems encountered in collaborative projects.
  • Contribute to revenue generation through completion of existing projects and development of new projects.
  • Support the RESAS-funded BioSS training programme, and to design and present training courses aimed at scientific audiences for external revenue generation.

Main duties of post holder

  • Develop and implement an area of personal research relevant to Human Health and Nutrition in one of BioSS’s three research themes.
  • Contribute to the development and delivery of BioSS training courses for scientists.
  • Seek external funding for research and consultancy projects, especially where these create new opportunities for collaboration with other organisations.
  • Contribute to the development of BioSS external training activities.



  • 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.
  • Evidence of ability to interact positively, effectively and confidently with collaborators in formal and informal situations.
  • Ability to work independently.
  • Evidence of willingness to seek funding.
  • Enthusiasm for development and application of statistical methods.
  • Strong general skills, covering some of the following areas: experimental design, repeated measures, mixed models, sampling theory, generalised linear models and computationally intensive methods.
  • Good programming ability in statistical packages such as GenStat, SPSS or R.
  • Good written communicator; willingness and ability to give spoken presentations presenting technical methods and results to non-quantitative audiences.


  • PhD in statistics or another discipline with a large statistical component plus some relevant work experience.
  • Evidence of ability to manage and motivate staff.
  • Evidence of experience and ability in seeking funding.
  • Experience in applying for large grants, e.g. from UKRI.

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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