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Research Officer, Skin Health & Ageing, A*STAR Skin Research Labs

External
S$36K–S$72K/yrContractUnknown2w ago
AWSBashData AnalysisDocumentationMachine LearningPython
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Requirements

  • Master's or bachelor's in bioinformatics, Computational Biology, Biotechnology, Computer Science, or related field
  • Strong programming skills in languages such as Python, R, and Bash
  • Experience with high-throughput sequencing data analysis would be preferrable
  • Familiarity with commonly used bioinformatics tools and knowledge of statistics and data analysis methods would be an advantage
  • Experience with cluster and cloud computing platforms (AWS, Google Cloud, HPC clusters)
  • Knowledge of workflow management systems (e.g., Snakemake, Nextflow)

Additional Information

Job Summary We are looking for a Bioinformatics Specialist (Research Officer) who will analyse and interpret complex biological datasets using computational and statistical approaches. This role involves developing pipelines, integrating multi-omics data, and generating actionable insights to support research in areas such as genomics, microbiome, transcriptomics, and systems biology. Roles and Responsibilities: Develop, implement, and maintain bioinformatics pipelines for high-throughput data (e.g., genomics, metagenomics, RNA-seq) Perform data preprocessing, quality control, and statistical analysis of large-scale biological datasets Integrate multi-omics data (e.g., microbiome, metabolomics, clinical metadata) Apply machine learning and statistical modelling techniques to identify patterns and predictive features Interpret results and translate findings into biological insights Collaborate with experimental scientists, clinicians, and cross-functional teams Maintain documentation, reproducible workflows, and version-controlled code Generate visualizations, reports, and manuscripts for publication Stay updated with emerging tools, databases, and best practices in bioinformatics Ability to adapt to changing working conditions while effectively collaborating across multidisciplinary teams


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