Bioinformatics Production Scientist

Summary

Join Twist Bioscience's Bioinformatics and Analytics team as a Senior/Staff Bioinformatics Production Scientist. You will leverage genomics expertise and production engineering skills to design and implement scalable computational pipelines for large-scale NGS data processing. This critical role involves architecting high-throughput workflows, maintaining bioinformatics infrastructure, and collaborating with Field Application Scientists to optimize pipelines supporting customer needs. Responsibilities include pipeline design and implementation, system architecture and production engineering, and cross-functional collaboration. The ideal candidate possesses a Master's or Ph.D. in a related field with relevant experience and strong bioinformatics, software development, and collaboration skills.

Requirements

• Master’s degree with 6–8 years of industry experience, or a Ph.D. with 3+ years of industry experience in Bioinformatics, Computational Biology, Computer Science, or a related field
• Experience designing, implementing, and optimizing production-scale bioinformatics pipelines for NGS data
• Strong understanding of workflow orchestration frameworks (e.g., Nextflow, Snakemake, Airflow)
• Hands-on experience with large-scale genomic data processing and storage solutions
• Background in assay development, genomics-based diagnostics, or quality control for high-throughput NGS data
• Proficiency in Python
• Strong familiarity with containerization (Docker, Kubernetes), CI/CD, and cloud platforms (AWS, GCP, or Azure)
• Experience with monitoring, logging, and alerting tools for bioinformatics workflows
• Ability to work closely with Field Application Scientists, translating field needs into scalable computational solutions
• Strong troubleshooting skills and the ability to identify, debug, and resolve pipeline-related challenges in a high-throughput environment

Responsibilities

• Develop and maintain production-grade bioinformatics pipelines for NGS data processing using modern workflow frameworks (e.g., Nextflow, Airflow)
• Ensure pipelines are scalable, reproducible, and optimized for high-throughput sequencing data
• Integrate best practices in software development, including CI/CD, containerization (Docker, Singularity), and cloud-based execution
• Work directly with Field Application Scientists (FAS) to understand their workflow needs and translate them into robust, user-friendly bioinformatics solutions
• Lead architectural decisions for bioinformatics workflows in cloud-based or on-prem environments
• Collaborate with DevOps teams to maintain monitoring, logging, and alerting systems for pipeline reliability and performance
• Design and implement data storage solutions for large-scale genomic datasets, balancing accessibility, cost, and efficiency
• Develop standardized deployment methods for field-facing applications and pipeline updates
• Partner with FAS teams to troubleshoot pipeline-related issues and improve field operations
• Work closely with wet-lab scientists and assay development teams to provide bioinformatics insights for product troubleshooting and optimization
• Collaborate with other Senior Bioinformatics Scientists to ensure consistency in data processing pipelines and best practices

Preferred Qualifications

• Experience with Rust, C++, SQL/dbt is a plus
• Strong grasp of infrastructure automation, cloud-native workflows, and scalable computing architectures
• Familiarity with databases (SQL, dbt) and distributed computing frameworks
• Experience with high-performance computing (HPC) environments and storage optimization strategies