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SalaryJob no: 0061355
Location: Parkville
Role type: Full-time; Fixed-term for 2 years
Faculty:Medicine, Dentistry and Health Sciences
Department/School: Department of Infectious Diseases, Melbourne Medical School
Salary: Level A - $101,460- $108,906 p.a. OR Level B - $114,645 - $136,136 pa (pro rata for part-time) plus 17% super
- Contribute to vital infectious disease modeling funded by the Australian Department of Health.
- Join a dynamic team at the forefront of Infectious disease prevention and control.
- Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!
This is a compelling opportunity for a skilled mathematical modeller and analyst to join the Department of Infectious Diseases at the prestigious Peter Doherty Institute for Infection and Immunity. As a key member of an established multi-disciplinary group, you will play a crucial role in a modelling program funded by the Australian Department of Health and Aged Care, addressing pressing questions related to vaccine allocation for respiratory syncytial virus (RSV) and influenza within the Australian National Immunisation Program schedule.
Your responsibilities will include:
- Assist with model-based studies of respiratory syncytial virus and influenza epidemiology in Australia, and vaccine strategies for prevention and control of related disease by developing or adapting code from an existing agent-based model of population level infection transmission;
- Contribute to verbal and written reports as required by funders, including drafting of peer reviewed publications outlining project findings;
- Provide day to day mentoring for graduate research students, with opportunities for formal joint supervision.
You excel in collaborative teamwork, meeting deadlines with ease. Your strong communication skills shine, complemented by a history of peer-reviewed scientific article publications.
You will also have:
- A PhD in applied mathematics, mathematical biology, statistics, biostatistics, computer science, or equivalent professional qualification
- Demonstrated experience in successfully producing computational code for mathematical models of biological systems using Python, R or C++
- Experience using the statistical programming language R, or familiarity with similar languages and an ability to learn R quickly
Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.
Your New Team - Department of Infectious Diseases
The Department of Infectious Diseases at the Peter Doherty Institute conducts impactful research on global health challenges, including antimicrobial resistance, HIV, tuberculosis, and emerging Infectious Diseases. Join our collaborative team of diverse researchers, make a difference in patient outcomes, and contribute to shaping public health policies. Together, we strive for excellence, innovation, and integrity in advancing our understanding and combatting Infectious Diseases.
What We Offer You!
In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out page!
About the University of Melbourne
We're tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via and stay connected with our stories and people on .
Be Yourself
The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity. First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit page.
We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact Kim Groizard at , with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".
Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.
For further information, including our 2023-2027 Indigenous strategy please visit -
Join Us!
If you feel this role is right for you, please apply with the following documents:
- Resume
- Cover Letter outlining your interest and experience
- The responses against the below Selection Criteria:
- A PhD in applied mathematics, mathematical biology, statistics, biostatistics, computer science, or equivalent professional qualification;
- Demonstrated experience in successfully producing computational code for mathematical models of biological systems using Python, R or C++;
- Experience using the statistical programming language R, or familiarity with similar languages and an ability to learn R quickly.
If you have any questions regarding the recruitment process, please feel free to contact Tara Amini via email at , ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.
If you have any particular questions regarding the job please follow the details listed on the Position Description.
Applications close: 26 February 2024 11:55 PM Australian Eastern Daylight Time (AEDT) / Melbourne time zone.
Position Description:
