Senior Bioinformatics Engineer
Sequencing1 month ago
Remote, United StatesSenior
Responsibilities
- Design, build, and maintain scalable pipelines for processing and analyzing clinical-grade 30x whole-genome data.
- Support diverse genomic data types and data processing workloads at consumer scale.
- Optimize pipeline performance, reliability, throughput, latency, and cost across AWS and hybrid environments.
- Develop production-quality services and tools using Python, C#, SQL, and AWS managed services.
- Build systems powering DNA applications and reports with genetic insights.
- Collaborate with product, science, engineering, and UX teams to translate scientific findings into consumer-friendly experiences.
- Establish and follow best practices for software engineering, data versioning, testing, observability, and documentation.
- Debug complex data and infrastructure issues and operate production systems where correctness and reliability are critical.
- Use AI tools to improve productivity, code quality, and testing depth.
- Deliver high-quality, validated output.
Requirements
- 5+ years of experience in bioinformatics, computational biology, computer science, or a related field.
- Hands-on experience with real-world genomic datasets and VCF, BAM, and FASTQ file formats.
- Understanding of genomic databases, standards, and annotation resources.
- Proficiency in Python, SQL, and C# with experience writing clean, maintainable code.
- Experience designing and implementing production bioinformatics pipelines and data processing systems.
- Experience building scalable, reliable systems on cloud platforms such as AWS and using managed services.
- Familiarity with Docker, Kubernetes, and containerization and orchestration technologies.
- Strong problem-solving skills, attention to detail, and written and verbal English communication skills.