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Leads and grows a software engineering team developing frontend, backend, cloud, instrument, CLI, and API systems for multi-omic products. Sets technical direction, oversees hiring and delivery, drives architecture and design reviews, and contributes hands-on across the stack. Champions AI-assisted and agentic development practices while supporting regulated software workflows, including design controls, verification, validation, traceability, audits, and regulatory submissions.

Manage and negotiate commercial agreements, including NDAs, MTAs, instrument loans, and reagent rentals. Provide cross-functional legal guidance, identify and mitigate contractual risks, review marketing materials, and support global business needs. The role also develops legal templates, playbooks, and procedures while maintaining strong relationships with internal stakeholders. Requires substantial contracts or paralegal experience, preferably in biotechnology or life sciences.

The Senior Lead, Enterprise Master Data will develop and drive the governance strategy for master data across multiple domains, ensuring data quality and compliance while enabling scalable operations.

Drive optical systems development for scientific multiomic discovery platforms from concept through commercialization. Responsibilities include optical requirements, design, simulation, integration, alignment, testing, troubleshooting, root cause analysis, vendor evaluation, production transfer, and research into imaging technologies. The role collaborates across hardware, firmware, software, supply chain, manufacturing, and field service teams while supporting imaging, illumination, and autofocus systems.

Gather requirements and write system specs, design/implement embedded Linux applications with real-time processing, integrate kernel/BSP/bootloader/drivers, lead system bring-up and SW/FW debugging, profile SoC data processing performance, develop and run automated tests, and collaborate with embedded teams on validation.

The Senior Engineer II, Machine Learning will develop and implement machine learning models, analyze multiomic/single-cell data, and apply image processing techniques for research projects.