Research Officer (Research Data Integration), A*STAR BII

About us

Data science is a core enabler of modern biomedical and translational research, where data across multiple modalities are generated at unprecedented scale. The Research Data Integration Group at the Bioinformatics Institute (BII), A.STAR focuses on bridging computational biology and data science with the needs of biologists and clinicians to drive biological discovery and translational impact.

Our work centres on the analysis, integration, and stewardship of large-scale multimodal datasets, including experimental, multi-omics, imaging, clinical, and bioprocessing data generated by A.STAR institutes, healthcare partners, and national initiatives in Singapore. A key objective is to improve the findability, accessibility, interoperability, and usability of complex datasets derived from patient samples, model systems, and biomanufacturing processes. We seek motivated individuals who are passionate about applying data-driven approaches to biomedical challenges with real-world impact.

For more information, please visit https://sites.google.com/view/woogroup/home.

Job summary

We are seeking a highly motivated and innovative Research Officer to support the integration and analysis of bioprocess, multi-omics, and experimental data related to biotechnology and biologics development. The successful candidate will contribute to data curation, workflow development, visualization, and analytics, supporting the development of end-to-end data platforms for translational research and drug development.

Key Responsibilities:

• Curate, quality-control, and manage incoming large-scale multi-omics and experimental datasets.
• Design and implement data management and database solutions for integrating complex, heterogeneous data while ensuring compliance with data security and governance requirements.
• Develop, benchmark, and execute analysis workflows to extract patterns, trends, and actionable insights from large datasets.
• Create data visualizations and dashboards to communicate complex results to scientific and clinical stakeholders.
• Optimise algorithms and workflows for performance, accuracy, and scalability in HPC and cloud environments.
• Develop agentic AI workflows and chatbot-based tools to automate data processing, analysis pipelines, and data querying.
• Apply and contribute to data standards and FAIR (Findable, Accessible, Interoperable, Reusable) principles.
• Collaborate closely with biologists, engineers, and clinicians to translate scientific and clinical questions into computational solutions.
• Stay current with advances in bioinformatics, data science, and AI/ML

Qualifications:

• Bachelor or master degree in bioinformatics, Computational Biology, Data Science, Computer Science, Health Informatics, or a related discipline.
• Strong programming skills in Python, R, or similar languages experience with AI/ML frameworks and large language models is an advantage.
• Solid understanding of biological concepts, omics technologies, and experimental data types.
• Experience with data visualisation tools and database development.
• Familiarity with Unix/Linux, HPC environments, cloud platforms, and large-scale data processing.

Preferred Skills:

• Knowledge of biological databases, ontologies, and data standards.
• Strong analytical and problem-solving skills with attention to detail.
• Good communication and collaboration skills, with the ability to work across disciplines.
• Ability to work independently with sound project management and organisational skills