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docker aws python airflow nextflow📋 Description
- Develop, maintain, and scale production-grade bioinformatics pipelines
- Lead translation of validated research workflows into scalable automated cloud-based production systems
- Architect automation initiatives to improve pipeline scalability, reliability, reproducibility, and TAT
- Design and oversee secure, high-throughput data transfer across AWS accounts
- Identify bottlenecks and implement performance and cost optimizations
- Contribute to long-term roadmap for automation and pipeline evolution
🎯 Requirements
- Master's degree in Bioinformatics, Computational Biology, CS, or related field
- 5+ years building and operating bioinformatics pipelines in production
- Proficient in a production language (e.g., Python)
- Extensive experience with AWS or similar cloud platforms
- Design scalable automated systems with minimal manual intervention
- Experience owning automated pipelines end-to-end, including debugging
🎁 Benefits
- Comprehensive medical, dental, vision, life and disability plans
- Fertility care benefits for employees and families
- Pregnancy and baby bonding leave
- 401(k) benefits
- Commuter benefits
- Employee referral program
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