Provide advice and establish protocols for collection, storage, access, analysis and reanalysis of large experiments.
Statistician or Senior Statistician - AgResearch Position based at either our Lincoln or Invermay campuses Opportunities to interact with local universities and scientists to further develop your skills Be part of an organisation encouraging agricultural change for the future The Organisation Making history - here at AgResearch we strive for excellence, quality and relevance in all that we do. Collaborating with some of the most innovative leaders across the science, government and commercial sectors is important to us. AgResearch is a place where putting together the 'right teams' is at the forefront of our science delivery. We are proud to be a leading Crown Research Institute working to create economic, environmental, social and cultural benefits for NZ. The Opportunity As a statistician, you will advocate statistical principles, working collaboratively with scientists to provide expert advice on statistical methodologies, the interpretation of statistical findings and the design of experiments. This position will fully utilise your skills and encourage career development. Use your experience and knowledge of statistical consulting to contribute to science discovery in New Zealand. You will Have a postgrad degree in Statistics (PhD preferable) Have 5 years subsequent statistical consulting experience (for a senior appointment) Be proficient in statistical packages such as R, GenStat, SAS Be engaging with excellent communication skills Demonstrate the ability to articulate complex technical information to clients Be willing to up-skill in order to meet the challenge of new scientific data Have the desire to achieve results and enhance New Zealand Agriculture This role will be based at either our Lincoln or Invermay campuses, near the cities of Christchurch or Dunedin, respectively. Both sites have beautiful grounds and excellent working environments. What else we can offer you AgResearch is located [...]
You will be responsible for applying sophisticated statistical techniques to drug and alcohol data gathered from surveys carried out in 31 countries around the world from over 160,000 people.
Provide consistent statistical backstopping to a team of multidisciplinary scientists through the full research cycle from design, analysis to publication.
Provide a range of data and statistical analyses of cancer data, including quality control and checking activities, and contributing to the preparation of statistical reports and papers to inform decision making.
Undertake research to support the business plan of the innovation research section.
Your tasks will include statistical analysis, economic modelling, literature reviews and report writing. Key research areas include the digital economy, superannuation and health service delivery.
Cleaning and analysis of the linked datasets and assistance with the preparation of reports, presentations and scientific manuscript for publication.
You’ll help us present high quality statistical information and interpretation to a wide audience, including commissioners, policy makers, health professionals and researchers.
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 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).
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.
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.
The new Biometrician will join an existing small team in delivering effective statistical and analytical support. Having the ability to think analytically when working with a diversity of problems, you will be able to diagnose and develop solutions and carry these through to implementation.
The work involves mostly applying appropriate statistical techniques to identify and develop better cultivars faster, residue-free methods of pest and disease control, more sustainable and profitable systems, proprietary foods with premium prices, and premium quality seafood with minimal environmental impact.