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Senior Automation Engineer, Platform Biology

Flagship Pioneering, Inc.·US·Cambridge, MA USA·senior
pythonc#aidata science
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What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients by helping scale the programmable infrastructure behind a new human cellular biology platform? About Vesalius Vesalius Therapeutics is pioneering a new platform to generate breakthrough treatments for common diseases. Our platform combines large-scale human genetics, genomics, stem cell studies, high-dimensional cellular phenotyping, and artificial intelligence to uncover causal biology and identify optimal intervention points for new therapies. Vesalius was founded in 2019 by Flagship Pioneering. Role Overview Vesalius is seeking a highly motivated Automation Engineer to help scale our automated biology platform. This early-career role sits at the intersection of biology, robotics, software, and data systems, with a focus on programming, data handling, systems integration, and workflow automation. You will partner with scientists, automation operators, IT, and data science teams to translate biological workflows into robust automated workcells and ensure experiments generate reliable, traceable, analysis-ready data. This role goes beyond operating instruments—it is focused on making automation programmable, integrated, scalable, and reliable. Key Responsibilities Develop and optimize high-throughput automated protocols that translate biological workflows from the bench to integrated workcells. Partner with scientific teams to design automation solutions that balance biological fidelity, throughput, cost, reliability, and lead time. Collaborate with scientists and automation operators on workflow execution, troubleshooting, training, and continuous improvement. Develop and maintain automation scripts, scheduling workflows, error handling, monitoring, and instrument-control methods using tools such as Python, C#, JSON, platform APIs, and vendor-specific languages. Validate automated workflows against benchtop methods, assessing precision, accuracy, reproduc

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