The Opportunity:

RevMed is seeking a Senior/Principal Lab Automation Engineer to join Platform Sciences and Automation (PSA) team within the Sample Management and Screening Platform Technologies (SM-SPT) function. You will bring deep automation expertise and a hands-on builder mindset to develop flexible systems, support reliable sample management and assay operations, and advance digital integration across Research. Working closely with scientists, engineers, research operations, and data and informatics teams, you will help build a nimble automation ecosystem that enables rapid adaptation and deployment of evolving scientific workflows through reusable laboratory capabilities. This role requires onsite presence at our Redwood City headquarters.

Key Responsibilities

• Translate scientific needs into automation. Partner closely with scientific teams to define and prioritize workflows, establish process-specific QC metrics, and implement reliable automated processes.

• Build reusable capabilities. Design, develop, integrate, and qualify workcells, liquid-handling systems, and protocols with the modularity and flexibility needed for rapid deployment across processes and technologies.

• Support reliable operations. Provide hands-on method development, optimization, and troubleshooting for standalone and integrated systems supporting both sample management and assay operations.

• Own digital automation and integration. Partner with research leadership, SM-SPT teams, IT, informatics, data engineering, and software teams to build digital products and drive LIMS integrations. Connect scientific intent, experimental planning, automated execution, and contextual data capture with downstream analytics and AI/ML to enable faster learning cycles.

• Shape strategy and investment. Collaboratively define near- and long-term physical and digital automation needs, align the roadmap with leadership, and guide internal development, build-versus-buy, and investment decisions. Evaluate emerging screening, assay technologies or data solutions for scientific impact within SM-SPT and across RevMed Research.

• Develop people and operational best practices. Work alongside and mentor engineers and operators through installation, testing, process validation, and continuous improvement. Drive documentation and training to strengthen business continuity, open communication, and shared accountability.

Required Skills, Experience and Education:

• Bachelor’s degree or higher in engineering, a scientific discipline, or a related field.

• Relevant, hands-on biotech/pharma lab automation experience: BS with 10-12+ years, or MS with 8-10+ years

• Deep knowledge of the lab automation landscape, with demonstrated technical depth across systems of varying scale and a track record of delivering commercial or custom hardware or data automation solutions appropriate to scientific needs.

• Proficiency in sample management or assay operations instrumentation, systems development, and programming across commercial, custom, or open-source platforms—for example, High Res Bio Cellario, Mosaic, Hamilton Verso, Beckman Tempo, Hamilton Venus, Tecan Fluent, PyLabRobot, and Benchling.

• Hands-on LIMS integration experience to streamline and automate sample management and assay data flows.

• Ability to independently own and deliver complex automation initiatives while guiding colleagues in daily work.

• Excellent proactive stakeholder engagement, communication, and organizational skills, with a can-do, can-learn, hands-on builder mindset and a sense of urgency.

Preferred Skills:

• Hands-on custom automation integration experience, with the ability to build and troubleshoot beyond vendor-provided solutions.

• Working knowledge of HTS and biochemical, cellular, or biophysical DMTA assay workflows, including small-molecule compound management, TR-FRET, high-throughput transfection, high-content imaging, or mass spectrometry assays.

• Experience applying state-of-the-art LLM or agentic AI tools to custom data and automation workflows to improve operational efficiency, deployment speed, and user adoption.

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