Research Data Engineer - Infectious Diseases AI in Melbourne

Research Data Engineer - Infectious Diseases AI in Melbourne

Melbourne Full-Time 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and deliver data systems for pandemic therapeutics research using AI.
  • Company: Join the University of Melbourne, a leader in infectious diseases research.
  • Benefits: Gain hands-on experience, collaborate with experts, and enhance your health data engineering skills.
  • Other info: Opportunity for professional growth in a dynamic research environment.
  • Why this job: Make a real impact on global health by working on cutting-edge research projects.
  • Qualifications: Experience in data engineering and a passion for health sciences.

The predicted salary is between 63000 - 77000 $ per year.

The University of Melbourne seeks a Research Software Engineer to design and deliver data systems powering CGCPT's pandemic therapeutics research. You will link complex biological and clinical datasets, enabling AI and analytics at scale, collaborating with scientists and clinicians while growing your health data engineering expertise.

Join a world-leading infectious diseases institute and contribute to cutting-edge platforms, governance-aligned data solutions, and opportunity for professional development.

Research Data Engineer - Infectious Diseases AI in Melbourne employer: University of Melbourne

The University of Melbourne is an exceptional employer, offering a vibrant and inclusive work culture that prioritises professional growth and well-being. As part of our Early Childhood Education Services team, you will enjoy generous benefits such as 17% superannuation, flexible work arrangements, and access to tailored career development programs, all while contributing to the transformative impact of education in a supportive university environment.

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Contact Details:

University of Melbourne Recruitment Team

We think you need these skills to ace Research Data Engineer - Infectious Diseases AI in Melbourne

Data Engineering
AI and Analytics
Biological Data Integration
Clinical Data Integration
Collaboration Skills
Health Data Expertise
Software Design