Closing date: 20 June 2022
Campus: Burnet Institute, Alfred Hospital, Melbourne.
Remuneration: Academic Level A/B
Status: Fixed-term full-time research position (2+ years) in Modelling & Biostatistics
Are you a talented researcher eager to lead real-world mathematical modelling projects in infectious diseases and global health? This could be the role for you!
A unique opportunity exists for a Mathematical Modeller to join Burnet’s Modelling & Biostatistics team. Join an innovative team that is developing and applying epidemiological and costing models around the world across a range of disease areas including COVID-19, HIV, TB, malaria, viral hepatitis, maternal and child health.
This is a full-time position, initially for a 2-year period with the possibility of extension. Flexible working hours will be provided. Work from the comfort of your own home or join us in the office, location is flexible!
In this role you will:
• develop and apply epidemic and economic models to address major public health issue;
• work with a globally based team of expert modellers, epidemiologists, economists, health and policy specialists, and computer scientists to improve models;
• provide modelling and analytical support to governments, policy makers, and other partners including the World Bank, Global Fund, and international health agencies, to improve health budget investment towards better decision-making and impact around the world;
• write high impact academic publications;
• apply innovations and analytical skills to ensure high quality deliverables in a fast-paced environment.
Let’s talk about you
The following criteria are essential:
• Undergraduate degree in modelling, statistics, physics, computer science, or a similar field, OR
• Undergraduate degree in health sciences, biomedicine or a similar field plus experience with data analysis, computing or modelling;
• excellent written and oral communication skills;
• demonstrated project experience, including the ability to successfully lead projects and work as part of a team;
• experience with scientific computing and/or mathematical modelling;
• well-developed modelling skills, with proficiency in Python (preferable), Matlab or similar, as well as experience in code management;
• experience in one or more of the following: Disease epidemiology, Health costing and economics, Communicable diseases, Maternal and child health or nutrition.
The following criteria are desirable but not essential:
• PhD in modelling, statistics, epidemiology, computer science or a similar field;
• a successful academic track record, including peer-reviewed publications and research impact
Links for application/more information
View position description here: https://burnet.edu.au/system/asset/file/5326/Modeller_PD_Jun2022.pdf
Apply here: https://aurecruitment.actionhrm.com/myrecruit/newApplicationWizard.htm?pc=2TD1BtG1Cd8wmIIPF1tePwxx
You will need to attach the following documents:
• statement addressing the selection criteria.