Postgraduate

You will contribute to a project to enhance the capacity of national statistical offices to produce and disseminate good quality and fit-for-purpose statistics on disability for evidence-based policy making and monitoring.

Under the general guidance and support of academic staff and the Scottish Water Analytics Team, the Associate will lead the development of analytical tools and predictive models for water quality for Scottish Water.

The key purpose of this role is to apply statistical methodology to contribute to improved robustness of manufacturing processes and to support product transfer from research and development to global manufacturing scale.

The successful candidate will interact with scientists from OpenAnalytics customers in order to devise and implement analysis methods tailored to novel experiments and perform data analyses on challenging datasets.

The role would suit a highly motivated individual with a broad statistical knowledge and the desire to develop and apply new and existing skills to help our clients make the best use of their data.

As a member of the research team, the Researcher will undertake research, conduct literature reviews and draft journal articles as directed by the Lead Investigator on the Second Australian Study of Health and Relationships (ASHR2).

The successful candidate will be an experienced applied statistician/Data Scientist who enjoys working in a team and is ready to think creatively to find solutions and deliver value to our customers.

Under supervision by more senior members of staff, you will provide data analysis and investigation, reporting of results, and statistical advice, across the complete range of our clients and contracts.

This is an excellent opportunity for a gifted, analytically minded individual to progress in online search marketing. If you love driving ideas from conception through to fruition; one of the great parts of this job is being able to test your ideas and prove whether they work or not.

In this position you will support association analyses for large scale datasets. These could include genome-wide association studies or resequencing studies, or risk modelling for verified discoveries, with a particular focus on cardiovascular and respiratory traits.