Research Officer (Research Data Integration), BII

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Bioinformatics Institute (BII), A.STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A.STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic, eye and skin diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job summary

We are seeking an a highly motivated and innovative Bioinformatician/Data Scientist with a background in AI and Machine Learning to drive integration of diverse multi-omics and clinical data related to various diseases, including ophthalmology, cancer, metabolic and skin diseases. The successful candidate will manage large-scale multimodal data, analyze large-scale biological datasets, and contribute to the discovery of biomarkers, therapeutic targets, and understanding of complex biological systems.

Key Responsibilities:

• Curate incoming large-scale multi-omics (genomics, transcriptomics, proteomics, metabolomics, lipidomics), images and clinical data
• Build data management and database solutions to manage and integrate complex datasets with compliance to data security requirements
• Implement, benchmark and execute analysis workflows for high-throughput sequencing and omics datasets to identify patterns and insights
• Visualize and build dashboards to communicate complex data outputs for scientific and clinical applications
• Optimize algorithms for speed, accuracy, and scalability in cloud or HPC environments
• Develop AI-powered pipelines for image analysis, data integration, feature extraction, and predictive modeling
• Implement international data standards and FAIR (Findability, Accessibility, Interoperability, and Reusability) principles
• Collaborate with research teams and clinicians to translate biological and clinical questions into computational solutions
• Stay updated with advancements in AI, bioinformatics, and computational biology

Qualifications:

• Bachelors or Masters degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Health Informatics, or related field
• Strong programming skills in Python, R, or similar languages, with experience in AI frameworks such as TensorFlow, PyTorch, Scikit-learn
• Knowledge of biological concepts, genomics, transcriptomics, or other omics disciplines
• Familiarity with data visualization tools and database development
• Experience with Unix/Linux, HPC environments and cloud platforms, and large dataset processing

Preferred Skills:

• Knowledge of biological databases and data standards
• Excellent communication, presentation and collaboration skills
• Strong analytical and problem-solving skills, and attention to detail
• Able to work independently, with competent project management and organizational skills
• Experience in mining and analyzing public omics datasets

To apply, please email your cover letter, CV and names of references to [Confidential Information]