BioSS 06-21 - Senior Statistician for Plant and Crop Sciences

Apply Now  Print

Posted: 31/03/2021 17:18
Start Date: Not Available
Salary: £38,442.00
Location: Dundee
Level: Hutton E
Deadline: 27/04/2021 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.

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

  • Delivery of collaborative research and statistical consultancy in the application area of plant and crop science across BioSS, with particular focus on the needs of the James Hutton Institute.
  • Development of a portfolio of personal research in applied statistics or bioinformatics motivated by quantitative problems encountered in collaborative projects.
  • Generating additional income for BioSS by supporting and leading applications for funding and contributing to the resulting projects.

Main duties of post holder

  • Contribute quantitative expertise to collaborative research projects across BioSS, focussed on (but not limited to) plant and crop science activities at the James Hutton Institute.
  • Deliver research on applied statistical or bioinformatics methods with clear relevance to the Scottish Government funded Strategic Research Programme.
  • Take responsibility for scientific relationship with specific James Hutton Institute Departments and Science Groups, building strong collaborative links both as an individual and in support of others in BioSS; showing leadership in establishing new links and new areas of collaboration.
  • Lead applications for funding, including calls from UKRI, and contribute to management and delivery of resulting projects as appropriate.
  • Represent BioSS externally at meetings with stakeholders from scientific and non-scientific backgrounds.
  • Extend collaborative links with government agencies, NGOs, universities, research institutes and commercial organisations.
  • Contribute to the development and delivery of BioSS training courses for scientists.

Qualifications/Skills/Knowledge

Essential

  • A PhD in statistics or another very closely related discipline, or an MSc with commensurate post-qualification development and work experience. 
  • Experience of development and use of modern quantitative methods applied to real-world examples.  Specific examples of desirable fields are given below.
  • A strong track record of research and/or collaboration evidenced by scientific journal and conference papers in a methodological field relevant to plant and crop science; experience in statistical genetics would be particularly welcome.
  • Evidence of ability to initiate, manage and maintain scientific collaborations.
  • The ability to work independently.
  • Evidence of ability to lead projects and to manage people.
  • Enthusiasm for development and application of quantitative methods, and for collaborating with applied scientists in a range of scientific areas.
  • Strong general statistical skills, including an understanding of relevant areas such as: experimental design, mixed models, generalised linear models, generalised additive models.
  • Excellent statistical programming ability in R or other high-level statistical or mathematical programming platform.
  • Evidence of good written communication.
  • Ability to give effective spoken presentations, to both quantitative and wider scientific audiences.

Desirable

  • Different skills sets would fit the remit of the post, any of which would be desirable.  For example, experience in:
    • statistical genetics relevant to plant and crop genetics and breeding, such as linkage analysis, QTL mapping, genome-wide association studies or genomic prediction;
    • use of empirical spatial or spatio-temporal statistical models;
    • sequence analysis, genomics and genome assembly;
    • phylogenetics;
    • haplotype construction from next generation sequencing data especially for polyploids.
  • Experience of communicating with government and commercial clients.
  • Experience of developing and leading funding applications.

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.

The James Hutton Institute is a: Stonewall Diversity Champion; Athena SWAN Bronze Status Holder; Disability Confident Committed Employer and a Living Wage Employer.

 



Apply Now  Print