Genomics Data Engineer — Build Secure Data Commons

Unimelb; City of Melbourne; On-site; AUD 125,000 - 136,000; Full time

Benefits offered by this job

17% superannuation

Flexible work arrangements

Career development opportunities

Parental leave and gender affirmation/

Job summary

The University of Melbourne is seeking a Data Engineer to build secure, well-governed data commons for human genomics research. You will work end-to-end across data operations, collaborating with researchers, data managers and colleagues in a close-knit Australian BioCommons team.

Role involves designing data dictionaries, transformations and QA processes, with opportunities for professional development and flexible work arrangements.

Qualifications

• Bachelor’s degree in data science, computer science, bioinformatics or closely related discipline.
• Experience in data management, analysis, engineering or software development in technical environments.
• Ability to work with structured data including modelling, transformation, validation, harmonisation or QA.
• Proficiency using shell, Python, R, SQL in cloud or server environments.
• Understanding data security and privacy with sensitive human data.

Responsibilities

• Design and maintain data dictionaries, submission templates and harmonisation for human genomics/multi-omics datasets.
• Collaborate with researchers and data managers to understand incoming data and improve quality.
• Develop, run and refine data transformation, validation, quality-control and migration workflows.
• Configure and operate Gen3 data commons platforms including dictionary deployment and indexing.
• Build tools, scripts and standard procedures to support reproducible data operations.

Skills

Shell

Python

R

SQL

Data governance

Education

Bachelor’s degree in data science, computer science, bioinformatics or related

Tools

Gen3 data commons

Job description

The University of Melbourne is seeking a Data Engineer to build secure, well-governed data commons for human genomics research. You will work end-to-end across data operations, collaborating with researchers, data managers and colleagues in a close-knit Australian BioCommons team.

Role involves designing data dictionaries, transformations and QA processes, with opportunities for professional development and flexible work arrangements.