Lymph node organoid platform for antibody discovery and immunogenicity screening
Prellis Biologics operates a wet-lab and computational platform (EXIS™) centered on engineered lymph node organoids for high-throughput antibody discovery and immunogenicity assessment. The hiring mix is research-heavy (18 roles) with emerging engineering and data functions, suggesting they're scaling both wet-lab throughput and computational infrastructure to move from manual screening into automation. Active projects span organoid engineering, high-throughput expression, and liquid-handling automation—paired with flagged pain points around expression bottlenecks and data governance—indicating they're hitting the scaling wall that typically forces biotech platforms toward operational maturity.
Notable leadership hires: Oncology Director, Business Development Director
Prellis Biologics is a privately held biotech company in Berkeley, California, developing the EXIS™ platform—a modular system that uses engineered lymph node organoids to accelerate antibody discovery, evaluate immunogenicity, and screen vaccine candidates within a single workflow. The company serves antibody therapeutic and immunology research teams. Current operations span wet-lab work (organoid engineering, cell line development, protein expression, ELISA assays) and computational analysis (sequencing, data visualization, bioinformatics). The platform integrates 10x Genomics, LC-MS, Benchling, and in-house tools (Python, FastAPI, Streamlit) for data capture and visualization. Active hiring across research, engineering, and data roles reflects expansion of both discovery capacity and automation infrastructure.
EXIS™ is an engineered lymph node organoid platform designed for three primary applications: high-throughput human antibody discovery, immunogenicity screening, and vaccine candidate evaluation. The platform consolidates these workflows into a single modular system.
Lab instrumentation includes 10x Genomics, LC-MS, Benchling, Biacore, and SDS-PAGE. Data and analysis layers run on Python, FastAPI, Streamlit, Plotly, PostgreSQL, Aurora, and AWS; visualization uses Spotfire and Shiny. Engineering work includes SolidWorks, FPGA, VHDL, and C/C++.
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