
Disease Modelling Lead
2 weeks ago
Communicable Disease Expert
The role requires leading a team of biostatisticians and modellers in conducting in-depth data analytics and infectious disease modelling to provide rigorous, timely and credible insights that support evidence-based policy making and decisions as well as public health interventions.
Key Responsibilities
- Develop and deploy advanced analytics, machine learning and deep learning models to derive actionable insights from data
- Analyse communicable disease outbreaks including cluster analyses, regressions, attributable risks, effectiveness and cost-effectiveness of countermeasures and determination of outbreak thresholds
- Model possible disease trajectories and impact of interventions
- Derive forecasts for different disease scenarios
- Long-term disease projections and derivation of burden of disease
- Manage the day-to-day operations of the team including fostering professional development
Qualifications
- A recognised tertiary education preferably a Master's degree in Epidemiology, Biostatistics, Public Health or a related field
- Doctoral degree preferred
- Technical proficiency in biostatistics and modelling software and data visualization tools
- At least 5 years in the field of public health, biostatistics, data analytics, data science or modelling
- At least 2 years in a leadership role
- Experience with advanced biostatistics and modelling methodologies
- Strong track record of publications in scientific peer-reviewed journals on epidemiologic studies or other relevant studies
- Strong communication, writing and presentation skills
- Analytical, detail-oriented, and responsible
- Possess good time/priority management, resilient and flexible under pressure
- Excellent organisation and problem-solving skills with the ability to respond effectively in a fast-paced environment
- Good interpersonal and team management skills, and strong stakeholder management experience
About the Role
This is an exciting opportunity to work in a fast-paced and dynamic environment to make a meaningful impact on public health.
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