Drimva

Ankar AI

Patent Engineer (Life Sciences)

London +1 · On-site · Full-time · Posted Sep 11, 2026

Location
London
New York
Experience
At least two years; qualifying areas include biologics patent prosecution, pharmaceutical or biotech IP, or other large-molecule-focused patent work.
Visa sponsorship
Visa sponsorship: Yes

About the job

Develop AI-powered patent products for large-molecule life sciences and work with pharmaceutical and biotech customers on biologics patent workflows.

What you'll do

  • Partner with product and engineering teams to build tools for biologics patent analysis, drafting, sequence-listing support, and prior-art searching.
  • Work with pharmaceutical and biotech customers to design, prototype, and deploy proofs of concept for large-molecule patent workflows.
  • Translate biologics patent challenges into product requirements and lead technical sessions with patent professionals.

What they ask for

  • At least two years of experience in biologics patent prosecution, pharmaceutical or biotech IP, or other large-molecule-focused patent work.
  • Strong knowledge of molecular biology, biochemistry, immunology, or a related discipline, including protein and nucleic acid sequences and biologics development.
  • Experience developing claim strategies for biologics, with understanding of written-description, enablement, sequence-listing, and functional-claiming requirements.
  • Understanding of the patent lifecycle from invention disclosure through prosecution, grant, and enforcement.

Nice to have

  • Experience at a patent law firm representing pharmaceutical or biotech clients, or as in-house patent counsel at a pharmaceutical or biotech company.
  • Expertise in emerging modalities such as antibody-drug conjugates, bispecific antibodies, RNA therapeutics, or cell and gene therapies; or an advanced life sciences degree combined with patent training.

AI focus

Build AI tools for large-molecule patents, including sequence analysis, biologics claim generation, sequence-listing support, and life sciences prior-art searching.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)