Senior Bioinformatics & Genomics Data System Engineer
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Job Description
Senior engineer designing cloud, automation, and genomics data systems. Supporting Natera’s cfDNA testing for oncology, women’s health, and organ health.
Responsibilities:
- Design, develop, test, deploy, maintain, and update DSPE software tools, data platforms, cloud platforms, automation systems, and analytics systems
- Ensure timely and efficient delivery of software tools and systems with correct, robust functionality
- Contribute to design, development, testing, deployment, validation, maintenance, and updates of software tools and data, cloud, and automation systems
- Create system architecture and infrastructure design documents with DSPE leadership
- Maintain and optimize software and system performance by monitoring network I/O, disk I/O, RAM usage, CPU usage, and disk space usage
- Create, maintain, and update technical documentation
- Create training materials and contribute to training activities
- Train and coach DSPE team members on technologies, procedures, guidelines, and best practices
- Represent the DSPE Software Engineering and DevOps team in stakeholder meetings
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or a related field required; advanced degrees preferred
- 6 years of relevant industry experience with a bachelor's degree, 3 years with a master's degree, or 2 years with a doctorate degree
- 3 years of experience in a highly regulated environment, such as CLIA and/or FDA-compliant settings
- 3 years of experience in a Software Engineering or DevOps team
- Experience developing and maintaining custom software tools or systems for production environments, preferably high-throughput settings
- Experience creating software design specification, verification and validation documents, and user manuals
- Excellent understanding of bioinformatics, genomics concepts, and NGS technologies
- Excellent Python programming skills with bioinformatics, genomics, or automation-system development experience
- Excellent understanding of AWS services relevant to bioinformatics and genomics applications
- Experience with AWS Batch, ECS, S3, EC2, and HealthOmics
- Proficiency with RDBMS systems such as PostgreSQL and/or MySQL
- Experience with BCL, FASTQ, BAM, and VCF file types
- Knowledge of optimizing architecture and components for performance, scalability, and reliability
- Knowledge of system performance evaluation, including RAM, Disk I/O, and Network I/O
- Knowledge of SDLC and software development and testing methodologies
- Linux command-line and application development experience
- Proficiency in Git, GitHub, and/or GitLab
- Experience developing automation solutions
Benefits:
- Comprehensive medical, dental, vision, life and disability plans for eligible employees and dependents
- Free testing for employees and immediate families
- Fertility care benefits
- Pregnancy and baby bonding leave
- 401(k) benefits
- Commuter benefits
- Employee referral program
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