Genomics Data Engineer — Build Secure Data Commons (Flexible)

The University of Melbourne; City of Melbourne; Hybrid; AUD 125,000 - 136,000; Full time

Benefits offered by this job

17% superannuation

Salary packaging

Health & wellbeing programs

Professional development opportunities

Job summary

The University of Melbourne seeks a Data Engineer to design and maintain secure, governed data commons for human genomics research. You will work end-to-end on data operations, collaborating with researchers and data managers to ensure data quality and compliance.

The role offers a fixed-term opportunity within Australian BioCommons, with a strong emphasis on secure data handling and reproducible workflows.

Qualifications

• Hold a bachelor’s degree in data science, computer science, bioinformatics or a closely related discipline.
• Experience in data management, data analysis, data engineering or software development within technical environments.
• Experience working with structured data including modelling, transformation, validation, harmonisation or quality assurance.
• Proficiency with shell, Python, SQL or R in cloud or server environments for data handling.

Responsibilities

• 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.

Skills

Data engineering

Data management

SQL

Python

Shell

R

Data security

Education

Bachelor's degree in data science / CS / bioinformatics

Tools

Gen3 data commons

Job description

The University of Melbourne seeks a Data Engineer to design and maintain secure, governed data commons for human genomics research. You will work end-to-end on data operations, collaborating with researchers and data managers to ensure data quality and compliance.

The role offers a fixed-term opportunity within Australian BioCommons, with a strong emphasis on secure data handling and reproducible workflows.