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 go-to-market team.
Requirements
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
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
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
We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following:
Competitive salary and equity
Full healthcare coverage; we pay 100% of premiums for you and your dependents
Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
12 weeks of paid parental leave for maternity, paternity, and adoption
Pet care support with a yearly employer-funded stipend for your animal companions
Commuter benefits so you can pay for transit and parking with pre-tax dollars
401(k) company matching
$300 health and wellness benefit quarterly
Lunch is on us every day you're in the office, and dinner is on us when you're working late
Regular team off-sites and company events
Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Compensation Range: $220K - $300K
