Principal Automation Research Engineer, Next Gen Sequencing Systems

Roche•Santa Clara, CA

1d•$110,600 - $205,500•Onsite

About The Position

At Roche, we are developing the next-generation of sequencing systems. By accelerating clinical research, streamlining workflows, and expanding assay menus, we are also broadening access to genomic data and lowering barriers to adoption. From robust sample isolation and preparation tools to novel sequencing technology and advanced bioinformatics, we are developing differentiated, highly integrated end-to-end solutions for next-generation sequencing workflows. Our Workflow Automation R&D Group, a part of Roche Sequencing Solutions, is focused on enhancing sequencing workflows. We are seeking a highly collaborative Principal Automation Research Engineer to contribute to the research and development of current and future automated platforms, while simultaneously building the tools to democratize key processes and eliminate bottlenecks. This is a hands-on, multidisciplinary role focused on solving automation challenges, integrating AI tools to streamline workflows, and tackling the fluidic, mechanical and consumables challenges at the heart of our next-generation platforms. We are looking for someone who exhibits a high degree of motivation, independence, and resourcefulness to help us develop solutions to our automation challenges in a fast-paced and collaborative environment.

Requirements

A degree in Bioengineering or Biomedical Engineering, or a closely related discipline, with relevant industry experience (7+ years for a Bachelor's, 5+ years for a Master's, or 3+ year for a PhD).
Demonstrated level of In-depth understanding of chemistry and molecular biology, specifically sequencing chemistry and workflows.
Demonstrated hands-on experience characterizing and testing complex automation systems for sequencing or diagnostics.
Demonstrated hands-on experience using modern AI-assisted tools to accelerate code generation, parse schemas, and automate test cases.
Demonstrated experience with markup and programming languages (e.g., XML, Python, or proprietary scripting environments) used to define automated instrument steps and hardware execution.
Solid level of experience in experimental design.
Demonstrated level of proficiency with machine shop tools, measurement equipment, and rapid prototyping technologies.
Demonstrated experience troubleshooting, with a solid understanding of physics, chemistry and engineering fundamentals.

Nice To Haves

Experience with DNA sequencing, DNA synthesizers and other complex fluidic automation instrumentation.
Demonstrated track record of acting as a bridge between scientists and the hardware/consumables engineers.
Excellent organizational skills with the ability to manage multiple project tracks efficiently and thrive in ambiguous, fast-paced environments.
Experience working with a sense of urgency, contagious optimism, and natural curiosity regarding technical, business, and market trends.
Demonstrated experience in SolidWorks for part design, detailed assembly design and the creation of manufacturing drawings.

Responsibilities

Utilize AI-assisted coding and modern software development tools to accelerate protocol generation, protocol simulation, debugging, test suite development, and automated error recovery.
Translate complex manual workflows (i.e. sample prep, library prep, target enrichment, quantification, pooling, and sequencing) into highly reliable automated scripts.
Test scripts and validate system performance through various analytical equipment and data analysis pipelines.
Contribute to architecture, design, research and development of next-generation automation platforms. Design, build, assemble and operate custom test fixtures to support testing of these platforms, modules and sub-systems.
Translate high-level system and assay requirements into fluidic schematics, system architectures and concepts to evaluate, compare, and downselect design paths.
Create and maintain comprehensive documentation for all work, from requirements, schematics, diagrams, CAD models, manufacturing drawings, and material specifications.
Partner directly with Assay Development Scientists, Hardware Engineers, Software Developers, and Product Managers to align platform functionality with customer requirements. Conduct cross-functional concept, code/script and design reviews. Present progress, data, and engineering decisions clearly to stakeholders.