Summary
Jonathan Rodiger is a data scientist and bioinformatics engineer with nine years of experience building production-grade pipelines, databases, and web tools for translational research. He blends full-stack development, cloud infrastructure, and relational/vector database design—recently applying pgvector embeddings to mass spectrometry search and migrating DNA/RNA pipelines to Seqera to cut costs and improve performance. At LifeMine he drove database redesigns that halved storage needs, integrated interactive LC‑MS/RNA‑Seq visualizations, and replaced costly genome-browser licenses, demonstrating both technical depth and pragmatic cost savings. He also builds agentic tools that combine multiple LLMs for natural-language database querying and AI-driven figure generation, showing a knack for marrying ML advances with domain workflows. Now based in Boston and working in translational research, he focuses on turning complex omics data into accessible, efficient platforms for discovery. An understated thread through his career is consistently translating research needs into production systems that scale and reduce operating expense.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Dickinson College