Senior Automation Engineer, Platform Biology
$108,000–$170,700 year
On-siteCambridge, Massachusetts, United States
Job Summary
Develop and optimize high-throughput automated protocols that translate biological workflows from the bench to integrated workcells, partnering with scientists to design solutions balancing fidelity, throughput, and reliability. Build integrations between automation platforms, instruments, LIMS/ELN, and downstream data pipelines using Python, C#, and vendor-specific languages to ensure experiments generate traceable, analysis-ready data. Program liquid-handling and robotic workflows across systems like Hamilton STAR and Dynamic Devices Lynx while troubleshooting instrument interfaces and developing barcode-to-workflow mappings for sample tracking. Validate automated processes against benchtop methods and maintain comprehensive SOPs and technical documentation. This early-career role sits at the intersection of biology, robotics, and data systems, supporting Vesalius Therapeutics's mission to scale programmable infrastructure for new medicines.
Required Qualifications
- Bachelor's or master's degree in computer science, engineering, bioengineering, automation, robotics, biomedical engineering, computational biology, or related field
- Early career experience in laboratory automation, scientific software, robotics, biotech automation, or a related environment
- Programming experience in Python and/or C#, or comparable languages, with familiarity with Git/version control, testing, debugging, and code documentation
- Strong communication and documentation skills with the ability to work effectively across scientific, automation, IT, and data teams
Desired Qualifications
- Experience with biological workflows such as mammalian cell culture, cell-based assays, high-content imaging, high-throughput screening, NGS, or iPSC systems
- Hands-on experience with automated liquid handlers, robotic systems, integrated workcells, laboratory scheduling software, or instrument-control methods
- Experience developing and troubleshooting automated biological workflows, liquid-handling methods, instrument workflows, software tools, or systems integrations
- Ability to troubleshoot across software, hardware, liquid handling, instrument communication, data, and sample-tracking workflows
- Exposure to cloud infrastructure such as AWS, event-driven integrations, or data pipelines supporting automated laboratory environments
- Experience with Hamilton STAR, Dynamic Devices Lynx, HighRes Biosolutions/Cellario, Beckman Biomek, Tecan, Biosero, Celltrio, Ginkgo Automation RAC systems, or similar platforms
- Experience with platform APIs, instrument drivers, SQL/databases, LIMS/ELN, automated metadata capture, or laboratory scheduling software
- Experience building tools for sample tracking, run monitoring, QC reporting, workflow validation, or automated data handoff
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