
Infectious Disease Modeler
1 week ago
Job Opportunity
We are seeking a Mathematical Modeller to develop agent-based models for vaccine allocation and integrate respiratory virus surveillance data.
This role offers the opportunity to advance your skills in mathematical modelling while making a tangible difference in infectious disease prevention and control.
- Develop and adapt mathematical models for respiratory virus epidemiology.
- Analyse and integrate surveillance data using advanced statistical methods.
- Contribute to research outputs through drafting peer-reviewed publications and reports.
- Mentor and collaborate with graduate research students and teams.
To be successful, you will have a PhD in a relevant field, experience in computational modelling of biological systems, and a passion for applying your expertise to improve public health outcomes.
You will also require:
- Experience in producing computational code for mathematical models using Python, R, or C++.
- Proficiency in using R or ability to learn it quickly.
- Excellent collaborative skills and the ability to work effectively in a team.
- Strong written and verbal communication skills.
- Experience in publishing peer-reviewed scientific articles.
The University is an Equal Opportunity Employer and a child-safe organisation, committed to an inclusive and equitable workplace where all individuals feel valued and respected.
Key Responsibilities
1. Mathematical Modelling
Develop and adapt mathematical models for respiratory virus epidemiology and vaccine strategies.
2. Data Analysis
Analyse and integrate surveillance data using advanced statistical methods.
3. Research Outputs
Contribute to research outputs through drafting peer-reviewed publications and reports.
4. Team Collaboration
Mentor and collaborate with graduate research students and teams.
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