Asks for

The ad says“A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.”
The ad says“Bring experience in data management, data analysis, data engineering or software development within technical environments.”
The ad says“Bring experience in data management, data analysis, data engineering or software development within technical environments.”
The ad says“Demonstrate capability working carefully with structured data, including modelling, transformation, validation, harmonisation or quality assurance.”
The ad says“Bring experience in data management, data analysis, data engineering or software development within technical environments.”
The ad says“Demonstrate capability working carefully with structured data, including modelling, transformation, validation, harmonisation or quality assurance.”
The ad says“Understand data security and privacy considerations when retaining, accessing and using potentially sensitive human research data.”
The ad says“Understand data security and privacy considerations when retaining, accessing and using potentially sensitive human research data.”
The ad says“Demonstrate capability working carefully with structured data, including modelling, transformation, validation, harmonisation or quality assurance.”
The ad says“Demonstrate capability working carefully with structured data, including modelling, transformation, validation, harmonisation or quality assurance.”
The ad says“Use shell, Python, R, SQL or similar tools in cloud or server environments to manage datasets.”
The ad says“Demonstrate capability working carefully with structured data, including modelling, transformation, validation, harmonisation or quality assurance.”
The ad says“Use shell, Python, R, SQL or similar tools in cloud or server environments to manage datasets.”
The ad says“Use shell, Python, R, SQL or similar tools in cloud or server environments to manage datasets.”
The ad says“Bring experience in data management, data analysis, data engineering or software development within technical environments.”
The ad says“Use shell, Python, R, SQL or similar tools in cloud or server environments to manage datasets.”

Role type: Full-time; Fixed term to 30 June 2028, externally funded
Faculty: Medicine, Dentistry and Health Sciences
Department: Australian BioCommons
Salary: UOM 8 - $125,191 - $135,504 p.a. plus 17% superannuation

Shape national human genomics data infrastructure / develop broad data engineering expertise / join a supportive, close-knit team
Apply now to help researchers securely unlock complex human genomics data for real-world health impact.
Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

The University of Melbourne
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 our website.

Your next career opportunity
In this role, you will engineer secure, well-governed data commons for sensitive human genomics research.

You will work end-to-end across data operations, whether your background is academic, industry or government.

You will develop versatile technical skills while contributing to nationally significant research infrastructure and health-focused projects.

What you will deliver:

Design and maintain high-quality data dictionaries, submission templates and harmonisation approaches for human genomics and multi-omics datasets.
Collaborate with researchers and data managers to understand incoming data, clarify requirements and improve data quality and consistency.
Develop, run and refine data transformation, validation, quality-control and migration workflows for sensitive research data holdings.
Configure and operate Gen3 data commons platforms, including dictionary deployment, data ingestion, indexing and user exploration interfaces.
Build tools, scripts, documentation and standard procedures that support reproducible data operations and reduce manual effort.

You may be a great fit if you:

Hold a bachelor’s degree in data science, computer science, bioinformatics or a closely related discipline.
Bring experience in data management, data analysis, data engineering or software development within technical environments.
Demonstrate capability working carefully with structured data, including modelling, transformation, validation, harmonisation or quality assurance.
Use shell, Python, R, SQL or similar tools in cloud or server environments to manage datasets.
Understand data security and privacy considerations when retaining, accessing and using potentially sensitive human research data.
Thrive in collaborative projects, communicating clearly with technical and non-technical stakeholders and taking ownership of tasks.

For further information please refer to the attached PD.

What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:

Build future financial security with 17% superannuation
Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning
Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave, cultural leave, and menstruation and menopause leave.
Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company
Health and well-being services including a leading Employee Assistance Program

For more information check out our benefits page!

Your new team – Australian BioCommons
You will join Australian BioCommons, a national NCRIS-funded research infrastructure program hosted by the University.

Working in a close-knit team of around ten specialists, you will collaborate across institutions and disciplines.

The Human Genome Informatics division builds secure, scalable data platforms that underpin cutting-edge human genomics and multi-omics research.

You will be part of a collaborative, learning-focused environment committed to practical impact and responsible data stewardship.

Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.

Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff.

Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at korin-korin@unimelb.edu.au.

Application essentials:

Visit "apply with us" to learn more about the process, including tips and FAQs.
You must have current valid work rights for Australia. Visa sponsorship is not available for this role.
A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.
Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
You are not required to address the Selection Criteria for this application.

Want to know more?

For questions related to our recruitment process email Alex Spezza at hr-careers@unimelb.edu.au
For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').

Apply today and join a community that’s shaping the future.

Applications close: Wednesday 14th of October 2026 at 11:55 PM; Melbourne time zone.

Position Description:
JR-018268 - Data Engineer - PD.pdf
JR-018268 - Data Engineer - PD.docx