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.

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