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Biostatistician
Job No:
GEORGE134
Location:
Newtown
- Full time (1 FTE)
- 2 year fixed term contract (renewable)
- Contribute to high impact research
- Flexible role within a supportive environment
Application close date: 19th July 2019
The George’ is 700+ people 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 the best ways to prevent and treat chronic disease and injury, and to influence policy and practice worldwide. Our innovative commercial enterprises help maximise our impact.
The Office of the Chief Scientist (OCS) was established as part of the George Institute’s global operations. This division has five main areas of responsibility: Academic Project Operations, Research Strategy and Services, Statistics, Health Economics and Process Evaluation, and Health Systems Science.
Established in Sydney in 2006, the Statistics Division has grown substantially and now includes staff in Australia, China, India and the UK working across a vast portfolio of clinical research studies. With employees across the world working on many projects, it is crucial for the Statistics division to ensure the integrity and accuracy of its work.
The Statistics Division is responsible for the provision of statistical expertise to support the research done at the George Institute; this includes clinical trials, meta-analyses, and range of observational studies including surveys and linked health data.
The Role
The Biostatistician 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
• Perform sample size calculations
• Prepare randomisation schedules
• Prepare derived datasets for the analyses using R, SAS and/or Stata
• Program and validate statistical analyses in R, SAS and/or Stata
• Perform advanced statistical analyses
• Prepare and deliver reports for interim and final analyses
• Program randomization schedules
• Assist with the creation of statistical analysis plans
• Contribute to the interpretation and publication of research results
• Contribute to capacity building
• Keep abreast of new statistical methods
• Comply with all institute policies and SOPs as well as regulatory requirements for the programming, analysis and reporting of research projects (e.g. FDA, EMEA, TGA etc)
Success will be based on a range of skills and experience:
• Postgraduate qualification (PhD, MPhil, MSc) in Statistics
• Experience in statistical analyses and programming within a medical research environment
• Excellent working knowledge of at least one of the softwares: R, SAS, Stata
• Understanding of data management principles and regulatory requirements for clinical trials and medical research
• Excellent interpersonal skills with a strong focus on quality and timely delivery of work
• Experience in working collaboratively in a team with researchers and other statisticians
• Excellent written and verbal communication skills
• High level problem solving, analytical, and strategic thinking skills
• Ability to see the big picture, whilst still maintaining a focus on detail and implementation
• Ability to be flexible and adaptable in the face of changing organisational priorities and ambiguous environments
We offer a flexible and inclusive work culture with excellent staff benefits including, salary packaging arrangements and sound learning opportunities.
For further information or if you have any questions, please contact Gian Luca Di Tanna (Head, Statistics Australia) at GDiTanna@georgeinstitute.org.au
We are reviewing applications as soon as we receive them, so apply now!
The George Institute is an equal employment opportunity employer committed to equity, diversity and social inclusion. Applications are encouraged from people with a disability; women; Aboriginal and Torres Strait Islander people; people who identify as LGBTIQ; mature-aged adults and those from culturally and linguistically diverse backgrounds.
