(Senior) Statistician Specialising in Human Health

2 weeks ago

Aberdeen, United Kingdom The James Hutton Institute Full time

Biomathematics and Statistics Scotland (BioSS) seeks to recruit a Statistician Specialising in Human Health and Nutrition Applications at either a Grade D or Grade E (Senior Level).
**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 Government-funded Strategic Research Programme.
- Develop strong collaborative links with specific groups of scientists.
- 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.

**Person Specification**
**Education/Experience/Skills**
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 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 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:

- 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 Government-funded 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 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.
- Person Specification*

**Education/Experience/Skills**
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 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: experimental design, mixed models, generalised linear models, generalised additive models, multivariate analysis.

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