Postgraduate

We’re hiring full-time and trainee data journalists Come and join The Economist’s quantitative-journalism department December 16th 2020 The Economist has always distinguished itself for numeracy and analytical rigour. Our data-journalism team conducts original quantitative research, deploying cutting-edge statistical methods to ask and answer important, relevant questions about politics, economics and society. We are looking to hire two data journalists: one experienced candidate for a full-time, permanent position, and one promising candidate for a six-month traineeship. If you would like to work at the intersection of data science, journalism and computational social science and share your research with The Economist’s influential global audience, please get in touch at the email address below. We hope the chosen candidate can join us soon, but can accommodate a later start date if necessary.   Full-time data journalist Job description Regularly conduct research and write articles for all sections of the newspaper, both in print and online. Particular emphasis will be placed on contributions to the print Graphic Detail section and to our online Daily Chart, working closely with our data-visualisation department Edit the print Graphic Detail page when necessary, including supervision of data journalists’ statistical research, editing their articles and approving the visualisation Collaborate with beat journalists on longer stories that combine original statistical research with conventional reporting Duration Permanent, full-time staff position Location London preferred. We can consider candidates based elsewhere in Europe, the Middle East or Africa, or in the eastern parts of the United States, Canada or Latin America, as long as they are willing to spend an initial incorporation period in Britain and travel there subsequently as needed Essential skills Fluency in the R (preferred) or Python programming languages for statistical analysis with large datasets Extensive experience with modelling statistical [...]

Interpret quantitative data and develop statistical models to forecast and monitor infrastructure demand for iCloud and other Apple services.

PHASTAR are a team of expert statisticians, programmers and medical writers, working to develop new medicines.

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 [...]

Design and plan of experiments, analyse experimental data, and help the interpretation and exploitation of outcomes together with the project team.

Undertake comprehensive data analysis within a hospital activity and cost environment.

You will be part of the team responsible for providing statistical oversight and input for research and product development departments globally.

You'll use different research, statistical, data analysis, mapping and reporting techniques to add insight to data. You'll integrate different data sources to make the results greater than the sum of the parts.

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.

You would be involved in scoping with customers, planning and conducting analysis, interpreting the results and preparation of statistical analysis reports.