Lab Automation Engineer I: High-Throughput & Impact

Thornton Tomasetti

Madison (WI)

Hybrid

USD 51,000 - 101,000

Full time

14 days+

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Job summary

Abbott is seeking an Automation Engineer I to join a multidisciplinary team in Madison, WI to develop and deploy automation solutions for pre-analytical sample processing and sequencing-based assays. You will contribute to software development, test protocols, and cross-functional collaboration to deliver high-quality results in a regulated medical device environment.

The role requires 1+ year(s) experience with automated liquid handling, strong attention to detail, and effective communication

Qualifications

B.S. in Life Sciences, Engineering, or field as outlined in the essential duties.
1+ years of experience working with automated liquid handlers and associated software in a regulated environment (CLIA, CAP, ISO, etc.).
Experience with Hamilton liquid handlers is desired.
High attention to detail and proven ability to effectively communicate across teams located at multiple sites.
Proven ability to troubleshoot technical issues in collaboration with a team of scientists.
Familiarity with Next-Generation sequencing and/or common molecular biology laboratory workflows.

Responsibilities

Develop automated laboratory solutions through programming of liquid handling robotics platforms to meet the requirements of existing assay workflows in an FDA regulated medical device environment.
Participate in all aspects of the software development lifecycle.
Work with cross-functional teams to understand laboratory processes and translate into user needs and software requirements.
Develop robust automated liquid handler methods for scalable and high throughput use that integrate with larger software systems for data management and sample tracking.
Iteratively develop and improve software based on feedback from experimental data and user feedback.
Maintain and improve the performance of existing software.
Troubleshoot issues across electrical, mechanical, and software systems to perform root cause analysis and issue resolution.
Review and debug complex software.
Design experiments studying impact of software controls on mechanical systems.