生物資訊工程師

【About the Role】 We are seeking a data-driven engineer to join our Bioinformatics Development Team, with a strong foundation in software development and data engineering principles. You will play a central role in designing, implementing, and optimizing robust analysis pipelines for next-generation sequencing (NGS) data, supporting our in-house clinical-grade assay production workflows. While prior experience in genomics or bioinformatics is a plus, we prioritize engineers who are passionate about solving complex data problems, working across structured/unstructured data, and building scalable, automated systems in real-world production environments. 【Key Responsibilities】 • Design and build data analysis pipelines using Nextflow or equivalent frameworks for reproducible and scalable computation. • Implement efficient and maintainable software using Python, integrating internal tools and external (3rd-party) bioinformatics software. • Collaborate with assay designers, wet-lab scientists, and computational biologists to translate analytical needs into scalable workflows. • Ensure performance, traceability, and robustness of pipelines in clinical production. • Develop automated QC, logging, and reporting systems for sequencing runs. • Contribute to continuous improvements in pipeline development, testing, and documentation practices. 【Core Qualifications (Must-Have)】 • Strong foundation in software engineering or data engineering (Bachelor’s degree or higher in Computer Science, Engineering, Bioinformatics, or related fields). • Proficient in Python with best practices in software modularity, testing, and documentation. • Experience with workflow orchestration tools (e.g., Nextflow, Airflow, Snakemake, or similar). • Familiarity with version control systems (Git) and collaborative development workflows. • Demonstrated experience solving real-world data problems and building production-ready pipelines. 【Plus / Preferred Qualifications】 • Experience working with genomics data formats (FASTQ, BAM, VCF) or NGS data analysis (DNA-seq, RNA-seq, panel sequencing). • Understanding of bioinformatics tools (e.g., BWA, GATK, samtools, VEP). • Familiarity with containerization technologies (Docker, Singularity) and cloud or HPC environments. • Experience in clinical, regulated, or quality-assured software development environments. 【Why You Should Join】 • Apply data engineering skills to support innovations in clinical genomics. • Work in a cross-disciplinary team that bridges software, biology, and clinical science. • Be part of an innovative biotech environment where your pipelines directly support diagnostics and patient care. • Contribute to a modern, reproducible, and automated NGS data processing platform.