Teams at Biohub

Develop and maintain scalable image-analysis pipelines for large fluorescent microscopy datasets; integrate multimodal data into AI-ready formats; improve segmentation, tracking, stitching, and registration; implement QC metrics and modular processing frameworks; collaborate with biologists and engineers and publish results.

Leads scaling of a live-imaging and data-generation pipeline for developing organisms. Responsibilities include setting throughput and quality targets, identifying bottlenecks, improving sample preparation and light-sheet microscopy, coordinating image-processing and compute workflows, establishing SOPs and QC gates, mentoring team members, and documenting open scientific methods. The role requires hands-on work across microscopy, biology, computation, and quantitative image analysis.

Lead design and implementation of company-wide security architecture, perform penetration testing and vulnerability management, automate security tooling and CI/CD scanning, build observability and incident response systems, and collaborate across teams to scale security for AI compute and research infrastructure.