Senior Automation Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

53% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Senior Automation Engineer South San Francisco, California, United States About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are seeking a Senior Automation Engineer to design, implement, and scale automated laboratory workflows and the supporting technologies that make them reliable, traceable, and extensible. This is a hands-on lab automation and technology development role focused on automating biological workflows on liquid handling robots and integrated automation workcells, while also developing the software, data, and LIMS-connected tools needed to make laboratory operations more scalable, observable, and AI-ready. This role sits at the intersection of biology, automation, robotics, software, and data systems. You will translate scientific workflows into reliable automated processes, support production-scale execution, and help build the control layers, data interfaces, and system integrations needed for more adaptive laboratory operations. Today, most lab automation systems are powerful but rigid, where hardware and software are typically designed to execute predefined instructions, not to understand workflow context, reason about errors, or support autonomous correction. This

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