Patent Engineer (Small Molecule Chemistry)

🇬🇧 London, England
Posted 2 months ago
Expires May 29, 2026

ABOUT ANKAR

The way companies innovate is broken. The systems built to create and protect ideas can't keep up with the pace of change. Today, 90% of S&P 500 company value is intangible (e.g., in intellectual property) - yet R&D and IP teams spend half their time buried in manual work, sifting through patents and paperwork instead of pushing the frontier forward. The tools of creating and protecting are stuck in the past. We're here to fix that.

Ankar is building the AI operating system for innovation, reinventing how companies generate and protect their inventions. Our platform orchestrates how ideas become defensible IP with a suite of AI modules such as patent drafting, office action response, and infringement detection.

We're at an inflection point:

- We've raised >$24M to date from Tier-1 VCs like Atomico, Index Ventures, Norrsken, Daphni, and angels like the Founder of Hugging Face, CEO from Datadog, and Leaders from DeepMind and OpenAI.

- We're already working with the world's most innovative companies including Fortune 500 company L'Oréal and global law firm Vorys

- Expanding our world-class team with alumni from Palantir, Amazon, and BCG to tackle the $1T+ innovation market. We're just getting started.

We are growing our team and looking for people who take ownership of ambitious projects, solve complex & high-impact problems, and do the best work of their career.

WHAT YOU'LL BE DOING

We're looking for a patent professional with deep small molecule chemistry expertise who can bridge product development, engineering, and IP protection. You'll work hands-on with pharmaceutical and biotech customers to design AI-powered patent solutions that understand the nuances of chemical structure, synthesis routes, formulations, and chemical patent drafting conventions.

- Build chemistry-specific patent products: Partner with product and engineering teams to develop AI tools tailored for small molecule patents - from structure-activity relationship analy...

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