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NHG Health

Bioinformatician - Genomics

Posted 1 weeks ago

Job Description

Bioinformatician (Genomics)

Responsibilities

  • Lead the design, development, validation, and upkeep of bioinformatics pipelines supporting clinical genomic testing services
  • Conduct end-to-end genomic and multi-omics data analysis (NGS, WES/WGS, ctDNA, PGx, MRD, PRS), including interpretation for clinical reporting
  • Build, optimise and maintain robust, scalable, and reproducible workflows, tools, and databases for high-throughput operations
  • Develop pipelines using Python, R, Bash, Linux, and workflow engines (Nextflow/Snakemake), including custom tool development
  • Collaborate with clinicians and multidisciplinary teams to deliver accurate, clinically actionable insights and reports
  • Integrate diverse data sources (clinical, internal, public) for variant classification and evidence-based recommendations
  • Deploy and manage pipelines on local/cloud/HPC infrastructure, ensuring performance, security, and compliance
  • Drive adoption of emerging technologies (AI/ML, long-read sequencing, advanced analytics) and support validation efforts
  • Ensure adherence to regulatory, quality, and data governance standards (e.g. CAP, HCSA, PDPA), including audits and documentation
  • Provide scientific leadership, mentorship, and research contributions, including publications, grants, and innovation initiatives

 

Requirement

  • PhD (or equivalent experience) in Bioinformatics, Computational Biology, Molecular Biology, or related field
  • 4-8 years experience in clinical/translational genomics with pipeline development and next generation sequencing analysis
  • Strong programming skills (Python, R, Bash, C/C++) and experience building reproducible workflows (Nextflow/Snakemake/WDL/CWL)
  • Hands-on expertise in NGS data analysis (alignment, variant calling, CNV/SV detection, annotation) and genomic databases
  • Proficiency in Linux/Unix, Git, and experience with HPC or cloud computing environments
  • Track record in publications, presentations, or assay/method development is advantageous
  • Solid understanding of statistics, data science, and quality control in genomic assays
  • Excellent problem-solving, organisation, and attention to detail, with focus on scalability and reproducibility
  • Strong communication and collaboration skills, able to work with clinicians, scientists, and IT teams

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Bioinformatician - Genomics at NHG Health | Renata