Senior Bioinformatics Engineer

Master’s degree in Bioinformatics, Computational Biology, Computer Science, or related quantitative field

5+ years of experience developing and operating bioinformatics or large-scale data processing pipelines in production environments

Strong proficiency in a production programming language (e.g., Python)

Extensive experience working in AWS or comparable cloud platforms

Proven ability to design scalable, automated systems with minimal manual intervention

Demonstrated experience owning automated pipelines end-to-end, including debugging across data, application, and infrastructure layers

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

www.natera.com

.

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.

Develop, maintain, and scale production-grade bioinformatics pipelines

Lead the translation of validated research workflows into scalable, automated, cloud-based production systems

Architect and drive automation initiatives to improve pipeline scalability, reliability, reproducibility, and turnaround time (TAT)

Design and oversee secure, high-throughput data transfer solutions across AWS accounts

Proactively identify bottlenecks and implement performance and cost optimizations

Contribute to long-term roadmap planning for automation and production pipeline evolution