Protein Engineer

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

Role

We're looking for a Protein Engineer to join our Forward Deployed team, working onsite with pharma and biotech partners alongside our engineers and computational biologists. In this role, you’ll ensure our AI agents generate biologics design recommendations that are scientifically rigorous, developable, and grounded in real protein engineering principles.

You'll define benchmarks, stress test agent outputs, and collaborate with our partners' biologics teams to identify where AI can accelerate their engineering and optimization workflows. This is embedded, partner-facing work. You'll build relationships with Protein Scientists, Protein Engineers, and Engineering Leadership to learn how they evaluate and prioritize protein variants, and bring those insights back to our AI team so our platform gets smarter about what makes a good candidate.

Responsibilities

Evaluate and improve AI agent performance on protein engineering tasks including sequence optimization, variant library design, stability and developability prediction, and functional screening strategy

Build benchmarks and success criteria for biologics-focused agent workflows

Work directly with protein engineers and biologics discovery teams at partner organizations to deploy AI agents into their engineering pipelines

Act as the large molecule authority on AI-generated outputs, assessing biological plausibility, manufacturability, and experimental feasibility

Collaborate daily with Forward Deployed Engineers and Computational Biologists on each account

Support engagement scoping, success metrics, and technical evaluation with the go-to-market team

Requirements

A Ph.D. in Protein Engineering, Biochemistry, Biophysics, Bioengineering, or a related field and 5+ years of industry experience in biologics discovery or protein engineering, ideally within a pharma or biotech sponsor organization

A track record in protein optimization campaigns spanning antibody engineering, enzyme engineering, or other therapeutic protein modalities

Strong proficiency with protein design and analysis tools such as Rosetta, AlphaFold, FoldX, or molecular dynamics platforms

A strong foundation in protein structure, function, stability, and the relationship between sequence and properties

Experience integrating developability, immunogenicity, and expression data into design decisions

Comfortable working alongside computational biology and structural modeling functions

Ability to travel domestically 20-40% of the time

Nice to Have

Experience working across multiple modalities

Python proficiency

High comfort with ambiguity and fast iteration

Prior experience in an industry or client-facing research context, outside of academia