Open-Source Epidemic Forecasting Software Engineer

University of Melbourne; Melbourne; On-site; AUD 101,000 - 109,000; Full time

Benefits offered by this job

17% superannuation

Salary packaging

Health and wellbeing programs

Professional development opportunities

Discounted services

Job summary

The University of Melbourne invites applications for a Research Software Engineer in the Melbourne School of Population and Global Health. You will design and deliver open-source software powering national epidemic forecasting and scenario modelling hubs, collaborating with epidemiologists and data scientists to turn health data into actionable insights.

This role emphasizes professional software engineering over academic publishing, with responsibilities spanning design, development, testing

Qualifications

• Bachelor in CS/Software engineering or related field.
• Experience designing and implementing research software using R, Python, or JavaScript.
• Experience building web interfaces and visualisations with modern front-end tech.
• Strong software engineering practices: Git, testing, CI, reproducible code.

Responsibilities

• Plan, design, develop, test and deploy open-source research software for forecasting hubs.
• Create modern web interfaces, dashboards and visualisations with secure back-end services.
• Engage users and collaborators via code repositories and forums for multi-team work.
• Implement data management, security and confidentiality aligned with policies.
• Produce clear technical docs, reports and maintainable tools.

Skills

R

Python

JavaScript

Web development

Education

Bachelor's degree in computer science, software engineering or a similarly computational discipline

Tools

Git

CI/CD

High-performance computing

Job description

The University of Melbourne invites applications for a Research Software Engineer in the Melbourne School of Population and Global Health. You will design and deliver open-source software powering national epidemic forecasting and scenario modelling hubs, collaborating with epidemiologists and data scientists to turn health data into actionable insights.

This role emphasizes professional software engineering over academic publishing, with responsibilities spanning design, development, testing