- Hybrid working arrangements available, with a combination of office and virtual work
- Respected global research organisation
- Make an impact on global health outcomes
The George Institute (TGI) is 700+ people around the world, all focused on improving the health of millions of people worldwide. As a medical research institute affiliated with leading universities and with projects in approximately 50 countries, we are challenging the status quo in healthcare to:
- Find better treatments for the world's biggest health problems
- Transform primary health care to support better health for more people
- Harness the power of communities, governments and markets to improve health
Our innovative commercial enterprises help maximise our impact. Please visit 'what we do' to read more about how we are addressing the world's biggest health problems.
Currently, an opportunity exists for a Statistical Programmer looking to join a growing organisation.
The Biostatistics team and Data Science division is responsible for the provision of statistical expertise to support the research done at the George Institute; this includes clinical trials, meta-analyses, observational studies, surveys as well as teaching and the development of new statistical methods. The Statistical Programmer is responsible for the analysis of medical research projects conducted by The George Institute for Global Health in Australia and globally.
To achieve this, the successful candidate will:
• Work in collaboration with, and provide statistical expertise to the research staff at the Institute
• Prepare derived datasets for the analyses using SAS or R
• Program and validate statistical analyses in SAS or R
• Prepare and deliver reports for interim and final analyses
• Assist with the creation of statistical analysis plans
• Contribute to the interpretation and publication of research results
• Keep abreast of statistical programming advances
• Comply with all institute policies and SOP's
Success will be based on a range of skills, knowledge and experience:
• Graduate qualifications in Statistics or related discipline
• Basic understanding of probability and statistics theory
• Sound understanding of descriptive statistics and simple hypothesis tests
• In-depth working knowledge of at least one leading statistical software (SAS, R or Stata) including macro/ function programming
• Sound understanding of data management principles and regulatory requirements for clinical trials and health research
• Good written and verbal communication skills
• Excellent interpersonal skills with a strong focus on quality and timely delivery work
• Experience in working collaboratively in a team with researchers and other statisticians
• Ability to be flexible and adaptable in the face of changing organisational priorities and ambiguous environments
For more details, please see our Position Description.
This is a great opportunity for you to work on exciting projects and make an impact on global health outcomes.