I'm a PhD chemist turned patent analyst with two years of industry experience guiding technology transfer from R&D into regulated production. I speak bench science, manufacturing constraints, and the language of claims.

My niche is turning messy technical data into clear IP strategy. I write Python to mine patent families, use LLMs to summarize disclosures, and build visualizations that help attorneys and inventors see patterns faster.

What I bring

• Doctoral training in Chemistry (spectroscopy + synthesis focus).
• Recent industry experience scaling analytical workflows and mentoring scientists.
• Programming stack: Python, SQL, Astro, and modern AI tooling for search + summarization.

What I'm looking for

• Patent agent or technical specialist roles supporting chemical/material innovations.
• Teams that value data-backed prior-art research and experimentation with AI copilots.
• Opportunities to translate complex lab insights into strategic filings.

The blog here documents my patent analysis workflows, LLM experiments, and frameworks for keeping large art searches organized. If that resonates, let's talk.

Reach me at jen@jendau.com or connect via LinkedIn.