Job Description
Join the Singapore General Hospital (SGH), a global leader in tertiary healthcare and medical innovation. As a Senior Bioinformatician within our Molecular Laboratory, you will play a pivotal role at the intersection of high-throughput sequencing technology and clinical diagnostics. We are looking for a highly analytical professional to leverage genomic data to drive precision medicine initiatives and improve patient outcomes. You will work alongside multidisciplinary teams of clinicians, pathologists, and researchers in a dynamic, world-class environment dedicated to excellence.
In this role, you will lead the development of robust bioinformatics pipelines for genomic data analysis, ensuring data integrity, compliance with clinical standards, and high-performance computation. If you are passionate about applying computational biology to real-world clinical challenges, SGH offers an unparalleled platform for your career growth.
Responsibilities
- Develop, validate, and maintain automated bioinformatics pipelines for NGS data analysis, including WGS, WES, and targeted panel sequencing.
- Perform complex clinical interpretation of genomic variants in accordance with international guidelines (ACMG/AMP).
- Collaborate with molecular pathologists and laboratory scientists to troubleshoot sequencing data and optimize assay performance.
- Design and implement custom scripts and software tools for data visualization, statistical analysis, and automated reporting.
- Manage large-scale genomic datasets, ensuring data security and adherence to patient privacy regulations.
- Support clinical research projects by providing bioinformatics consultancy and analytical expertise.
- Stay abreast of the latest advancements in genomics, diagnostic technology, and computational biology.
Qualifications
- Master’s degree or PhD in Bioinformatics, Computational Biology, Genomics, or a related quantitative field.
- At least 3-5 years of hands-on experience in clinical bioinformatics or NGS data analysis.
- Proficiency in programming languages such as Python, R, or Perl for biological data analysis.
- Strong working knowledge of Linux/Unix environments and high-performance computing (HPC) clusters.
- Experience with standard bioinformatics tools (BWA, GATK, Samtools) and cloud-based platforms.
- Demonstrated ability to interpret genomic variants and clinical reports in a hospital or diagnostic setting.
- Strong communication skills with the ability to bridge the gap between technical data and clinical application.