Statistician Specialising in Human Health - Aberdeen, United Kingdom - The James Hutton Institute

The James Hutton Institute

Verified Company

Aberdeen, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Biomathematics and Statistics Scotland (BioSS) seeks a quantitative scientist interested in delivering statistical consultancy and developing a personal research portfolio in the field 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 these areas.

With rapidly evolving technologies producing large, complex data sets, this position offers exciting opportunities for a committed and innovative scientist to build a stimulating career in a dynamic and collegial working environment.

Potential applicants may contact Dr Graham Horgan (, tel in confidence to discuss this position.

Main Purpose of Job

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

Main duties of post holder

Contribute quantitative expertise to collaborative research projects across BioSS, focussed on (but not limited to) human health and nutrition science at the Rowett Institute.
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 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.

Qualifications/Skills/Knowledge

Essential

A PhD in statistics or another closely related quantitative discipline, or an MSc with commensurate postqualification development and work experience.
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, Python or another highlevel statistical or mathematical programming platform.
Experience of development and use of modern quantitative methods applied to realworld examples. No specific area of experience is 'essential', but examples of desirable areas are listed 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 is not essential.
Ability to give effective spoken presentations, to both quantitative and wider scientific audiences.
Evidence of good written communication.
The ability to work independently.

- _ For the more senior role (Band E), applicants should demonstrate a stronger past track_ record across most of these attributes. In addition, _evidence of ability to initiate and manage collaborations, lead projects and to manage people_ are essential for the more senior role._

Desirable

Different skill 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.

How to Apply

To apply, please create an account and upload personal details along with a CV and a covering letter/statement detailing why you consider yourself suitable for this post.