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Statistician Specialising in Human Health

3 months ago

Aberdeen, Aberdeen City, United Kingdom The James Hutton Institute Full time

Biomathematics and Statistics Scotland (BioSS) seeks a quantitative scientist interested in delivering statistical consultancy and in developing a personal research portfolio in the field of human health and nutrition.

Interviews for this position will be happening on 14 August 2023.

Grade D - Statistician Specialising in Human Health and Nutrition Applications

Main Purpose of Job

  • Development of a portfolio of personal research in applied statistics, mathematical modelling or bioinformatics motivated by quantitative problems encountered in collaborative projects.

Main Duties of Postholder

  • Contribute quantitative expertise to collaborative research projects across BioSS, focussed on (but not limited to) human health and nutrition activities.
  • Deliver research on applied statistical, mathematical modelling or bioinformatics methods with clear relevance to the Scottish Governmentfunded Strategic Research Programme.
  • Develop strong collaborative links with specific groups of scientists.
  • Represent BioSS externally at meetings with stakeholders from scientific and nonscientific 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.

Person Specification

Education/Experience/Skills
Essential

  • A PhD in statistics or another very closely related discipline, or an MSc with commensurate postqualification development and work experience.
  • Experience of development and use of modern quantitative methods applied to realworld examples. Specific examples of desirable fields are given below.
  • A track record of research and/or collaboration evidenced by scientific journal and conference papers in a methodological field relevant to human health and nutrition; experience in bioinformatics would be particularly welcome, but not essential.
  • The ability to work independently.
  • Strong general statistical skills, including an understanding of relevant areas such as: experimental design, mixed models, generalised linear models, generalised additive models, multivariate analysis.
  • Good statistical programming ability in R or other highlevel 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:

  • Advanced mixed models with complex variance structures;
  • Multivariate analysis of large metabolomic, proteomic or genomic data sets;
  • Structural equation modelling;
  • Mathematical modelling.
  • Experience of communicating with government and commercial clients.

Grade E - Senior Statistician Specialising in Human Health and Nutrition Applications

Main Purpose of Job

  • Development of a portfolio of personal research in applied statistics, mathematical modelling or bioinformatics motivated by quantitative problems encountered in collaborative projects.

Main Duties of Postholder

  • Contribute quantitative expertise to collaborative research projects across BioSS, focussed on (but not limited to) human health and nutrition activities.
  • Deliver research on applied statistical, mathematical modelling or bioinformatics methods with clear relevance to the Scottish Governmentfunded Strategic Research Programme.
  • Take responsibility for scientific relationship with specific groups of collaborators, 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.
  • Represent BioSS externally at meetings with stakeholders from scientific and nonscientific 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.

Person Specification

Education/Experience/Skills
Essential

  • A PhD in statistics or another very closely related discipline, or an MSc with commensurate postqualification development and work experience.
  • Experience of development and use of modern quantitative methods applied to realworld 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 human health and nutrition; experience in bioinformatics would be particularly welcome, but not essential.
  • 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.
  • Strong general statistical skills, including an understanding of relevant areas such as: e