Research Officer - Data Engineer Position
We are seeking a highly skilled Data Engineer to join our team and contribute to the design and implementation of software, configuration scripts, and data processing workflows for ongoing research projects.
This role involves data engineering tasks such as acquiring, processing, and managing health-related datasets, from research databases like MIMIC to real-world electronic medical records from platforms, such as Cerner and Epic. Beyond data engineering, the role includes aspects of data science, such as conducting data analysis, feature engineering, and building machine learning models for tasks like classification and regression.
Key Responsibilities:
* Collaborate with Researchers and Students: Work with researchers and HDR students to identify data/software needs and support data-driven solutions, including research outputs.
* Develop and Maintain Full-Stack Applications: Develop and maintain full-stack applications for research workflows (e.g., Natural Language Processing (NLP), Information Retrieval (IR), Retrieval-Augmented Generation (RAG), and AI/ML-based systems).
* Build and Manage Data Pipelines: Build and manage data pipelines using open-source or cloud tools (e.g., Apache Airflow, AWS Managed Workflows, Google Cloud Compose).
* Ensure Data Security and Integrity: Ensure data security, integrity, and compliance with governance and privacy requirements.
Required Skills and Qualifications:
* Education: Bachelor's degree in Computer Science, Data Engineering, Data Science, Health Informatics, or related field.
* Experience: 1-2 years of experience as a Data Engineer or Data Scientist, focusing on working with healthcare datasets, such as MIMIC, EHRs, or other health information systems.
* Skills: Proficiency in SQL, Python, or other programming languages used for data manipulation and ETL processes, Experience with cloud platforms, such as AWS or GCP, for data storage and processing, Ability to collaborate effectively with interdisciplinary research teams, including non-technical stakeholders.
Benefits:
* Professional Growth: Opportunities for professional growth and development in a dynamic research environment.
* Work-Life Balance: Flexible working arrangements, including hybrid on-site/WFH options and flexible start/finish times.
* Relocation Support: Relocation support package available for interstate or overseas candidates.
How to Apply:
To be considered for this position, please ensure you upload your resume, cover letter, and responses to the 'About You' section.