Protein Engineer

Edison Scientific•San Francisco, CA

22h•Onsite

About The Position

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. The Protein Engineer joins the Forward Deployed team and works onsite with pharma and biotech partners alongside engineers and computational biologists. The role ensures AI-generated biologics design recommendations are scientifically rigorous, developable, and grounded in protein engineering principles. It involves defining benchmarks, stress-testing agent outputs, and working with partner biologics teams to identify opportunities for AI to accelerate engineering and optimization workflows. This is embedded, partner-facing work. The Protein Engineer builds relationships with Protein Scientists, Protein Engineers, and Engineering Leadership to understand how they evaluate and prioritize protein variants, then brings those insights to the AI team to improve the platform.

Requirements

Ph.D. in Protein Engineering, Biochemistry, Biophysics, Bioengineering, or a related field.
5+ years of industry experience in biologics discovery or protein engineering, ideally within a pharma or biotech sponsor organization.
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.
Strong foundation in protein structure, function, stability, and the relationship between sequence and properties.
Experience integrating developability, immunogenicity, and expression data into design decisions.
Comfort working alongside computational biology and structural modeling functions.
Ability to travel domestically 20–40% of the time.

Nice To Haves

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.

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.
Assess AI-generated outputs as the large-molecule authority, including 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.

Benefits

Competitive salary and equity.
Full healthcare coverage, with 100% of premiums paid for employees and dependents.
Yearly new parent stipend and fertility coverage through Carrot.
Mental health support through Rula, an in-network therapist and psychiatrist network with fast availability.
12 weeks of paid parental leave for maternity, paternity, and adoption.
Yearly employer-funded pet care stipend.
Commuter benefits for transit and parking using pre-tax dollars.
401(k) company matching.
$300 quarterly health and wellness benefit.
Lunch on office days and dinner when working late.
Regular team off-sites and company events.