Bioinformatician - Genomics

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