Senior Bioinformatics & Genomics Data System Engineer
Senior engineer on Natera's Data Science Production Engineering DevOps team, designing, building, deploying, and maintaining bioinformatics software tools and cloud data platforms (Python, AWS, PostgreSQL) for genomics-scale data in a regulated CLIA/FDA environment. Onsite in San Carlos, CA.
Compensation
$125.8K–$157.2K / yr
Location
San Carlos, CA
Work setup
Not specified
Seniority
Senior
Employment
Not specified
Experience
2+ years
Category
Software engineering
Posted
Skills
analytics
automation
aws
bioinformatics
cloud
data-science
devops
ec2
ecs
git
github
gitlab
linux
mysql
postgresql
python
rdbms
s3
sdlc
version-control
Must have
Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or related field
6+ years relevant industry experience with Bachelor's (3+ with Master's, 2+ with Doctorate)
3+ years working experience in a highly regulated environment (CLIA and/or FDA compliant)
3+ years working experience in a Software Engineering or DevOps team
Experience developing and maintaining custom software tools/systems for production environments
Experience creating software design specifications, verification & validation documents, and user manuals
Excellent understanding of bioinformatics and genomics concepts and NGS technologies
Excellent Python programming skills with bioinformatics/genomics application or automation development experience
Excellent understanding of AWS services relevant to bioinformatics and genomics applications
Working experience with AWS services such as Batch, ECS, S3, EC2, HealthOmics
Proficient with RDBMS such as PostgreSQL and/or MySQL with production database-based application development
Working experience with BCL, FASTQ, BAM, VCF file types
Working knowledge of optimizing system architecture and components for performance, scalability, and reliability at genomics scale
Working knowledge of system performance evaluation methods (RAM, disk I/O, network I/O impacts)
Working knowledge of SDLC and software development and testing methodologies
Linux command line skills and past Linux application development experience
Proficiency in Git workflow and version control systems like GitHub and/or GitLab
Past experience developing automation solutions
Nice to have
Advanced degrees (Master's or Doctorate) preferred
Experience in high-throughput settings (heavy traffic and/or high computational load)
Full description
As a Senior Bioinformatics & Genomics Data System Engineer of our Data Science Production Engineering (DSPE) department, you will be a key member in the DSPE DevOps team, to design, develop, test, deploy, maintain, and update DSPE's software tools, data platforms, cloud platforms, automation systems, and analytics systems.
PRIMARY RESPONSIBILITIES:
Technical
Ensure the timely and efficient delivery of software tools and systems with correct and robust functionality.
Contribute to key design, development, testing, deployment, validation, maintenance, and update activities for DSPE's software tools and data/cloud/automation systems.
Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained.
Maintain and optimize software/system performance, by monitoring and studying different solutions' impacts on key system metrics, such as network I/O, disk I/O, RAM usage, CPU usage, disk space usage, etc.
Quality, Compliance, and Documentation
Contribute to technical documentation's creation, maintenance, and updates for the DSPE Software Engineering & DevOps-team owned software tools and systems.
Create training materials, and contribute to training activities, for the DSPE Software Engineering & DevOps team-owned software tools and systems.
Cross-Functional
Train and coach DSPE team members on new technologies, procedures, and guidelines/best practices.
Represent the DSPE Software Engineering & DevOps team in stakeholder meetings.
QUALIFICATIONS:
Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field. Advanced degrees preferred.
Minimal 6 years of relevant industry experience for candidates with only a Bachelor's Degree. Minimal 3 years of relevant industry experience for candidates with a Master's Degree. Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.
Minimal 3 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
Minimal 3 years of working experience in a Software Engineering, or a DevOps team.
Demonstrable experience in developing and maintaining custom-developed software tools or systems for production environments, preferable in high-throughput settings (e.g., heavy traffic and/or high computational load).
Demonstrable experience in creating software design specification documents, verification and validation documents, and user manuals.
KNOWLEDGE, SKILLS, AND ABILITIES:
Excellent understanding of key bioinformatics and genomics concepts, and NGS technologies.
Excellent Python programming skills, with demonstrable bioinformatics or genomics application and/or automation system development experience.
Excellent understanding of AWS services relevant to bioinformatics and genomics applications.
Working experience with key AWS services, such as Batch, ECS, S3, EC2, HealthOmics, etc., preferably in developing for-production software tools/systems.
Proficient with RDBMS systems such as PostgreSQL and/or MySQL, and demonstrable working experience in for-production database-based application development.
Working experience with bioinformatics and genomics-specific file types, such as BCL, FASTQ, BAM, VCF files.
Working knowledge in optimizing system architecture and individual components for performance, scalability, and/or reliability, especially for genomics-scale data.
Working knowledge in tool/system performance evaluation methods, and familiar with the key factors, such as RAM, Disk IO, Network IO's impact on system/tool's performance, especially for bioinformatics and genomics applications.
Working knowledge in SDLC and software development and testing methodologies.
Working knowledge in Linux command line skills, and past Linux application development experience.
Proficiency in Git workflow and version control systems like GitHub and/or GitLab.
Past experience in developing automation solutions.
Compensation & Total Rewards
This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.
This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including:
- Annual performance incentive bonus
- Long-term equity awards
- Comprehensive health benefits (medical, dental, vision)
- 401(k) with company match
- Generous paid time off and company holidays
- Additional wellness and work-life benefits
Compensation Range
$125,800—$157,200 USD
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
For more information, visit .
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
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