Hiring: Senior Automation Engineer, Platform Biology Company: Flagship Pioneering Location: Cambridge, MA Job Posted Time: 2026-09-16 17:41:09 Employment Type: Full-time Target Skills & Keywords: Laboratory Automation, Robotics, Python, C#, JSON, Platform APIs, Liquid Handling, Hamilton STAR, Dynamic Devices Lynx, HighRes Biosolutions/Cellario, LIMS/ELN Integration, Workflow Automation, High-Throughput Screening, Cell-Based Assays, High-Content Imaging, NGS, iPSC Systems, Systems Integration, Data Pipelines, Software Engineering Experience: - Early career experience in laboratory automation, scientific software, robotics, biotech automation, or a related environment - Hands-on experience with automated liquid handlers, robotic systems, integrated workcells, laboratory scheduling software, or instrument-control methods - Experience developing and troubleshooting instrument interfaces or drivers - Experience with biological workflows such as mammalian cell culture, cell-based assays, high-content imaging, high-throughput screening, NGS, or iPSC systems is strongly preferred Required Skills: - Develop and optimize high-throughput automated protocols, translating biological workflows from bench to integrated workcells - Design automation solutions balancing biological fidelity, throughput, cost, reliability, and lead time - Develop and maintain automation scripts, scheduling workflows, error handling, monitoring, and instrument-control methods using Python, C#, JSON, platform APIs, and vendor-specific languages - Validate automated workflows against benchtop methods, assessing precision, accuracy, reproducibility, and data quality - Build integrations between automation platforms, instruments, LIMS/ELN, imaging systems, databases, and downstream data pipelines, including structured metadata capture and data handoff - Integrate and troubleshoot new instruments and workcell components - Apply sound software engineering practices including version control, testing, debugging, modular design, and documentation - Program liquid-handling and robotic workflows across platforms such as Hamilton STAR, Dynamic Devices Lynx, HighRes Biosolutions/Cellario, and similar systems - Develop barcode-to-workflow mapping to enable batch and sample tracking - Create and maintain SOPs, method documentation, validation reports, and troubleshooting guides - Collaborate with scientists, automation operators, IT, and data science teams on workflow execution, troubleshooting, training, and continuous improvement Qualifications: - Bachelor's or master's degree in computer science, engineering, bioengineering, automation, robotics, biomedical engineering, computational biology, or related field - Highly motivated with a focus on programming, data handling, systems integration, and workflow automation - Strong collaboration and communication skills across scientific, automation, IT, and data science teams Compensation: Not specified in the job posting Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!