greenhouse
Automation Engineer
Natera
Austin, USA
Junior · 2–5 years experience
Discovered 1 weeks ago
python
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Role Overview
The Automation Engineer is an intermediate role focused on deployment, optimization, and support of automated systems and software tools, including workcells, liquid handlers, and analytical instruments.
This engineer has more independence than an Associate and is expected to have a solid foundation in sustaining engineering (troubleshooting and development).
This individual should have a solid understanding of most complex automated liquid handling systems used in the lab, and can drive engineering projects of medium complexity independently and of high complexity with some guidance.
They document work completely, follow SOPs, and contribute to Production Engineering documentation and team knowledge.
Work is organized across Production Automation Engineering's project portfolio categories—Stabilize, Standardize, and Optimize—and commonly includes liquid-handler capacity expansion, platform upgrades, assay/workflow verification, instrument troubleshooting, and go-live support for production systems.
Roles and Responsibilities
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Qualifications
- Education & Experience
- Bachelor's degree in Engineering, Life Sciences, or related field.
- 2–5 years of experience in laboratory automation engineering, with hands-on experience in lab automation troubleshooting and development.
- Required Knowledge & Skills
- Understanding of diagnostic laboratory workflows, instrumentation, and software.
- Proficiency in lab automation controlling software and scheduling software; learning applicable supporting software tools (e.g., Python).
- Strong attention to detail and ability to follow protocols meticulously.
- Strong knowledge of GDP and regulatory requirements.
- Excellent organizational and communication skills for managing multiple projects.
- Ability to travel between local Austin sites (within ~1 mile) to support multiple labs.
- Preferred / Nice to Have
- Background in NGS and/or clinical laboratories (e.g., extraction, library preparation, or sequencing workflows).
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