About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Computational Biologist, you will build and evaluate AI agent systems to automate biological discovery and clinical development. You'll be embedded directly with some of the world's leadingR&D organizations, and will be responsible for ensuring Edison’s AI agents deliver . You’ll work with our partner to create benchmarks that measure the performance of our agents on complex tasks across the drug discovery and development pipeline, then work with our internal AI engineering team to improve the performance of our agents on those tasks. You'll need to deeply understand our partners’ biology, their research workflows, and their unmet needs, then determine where our platform can drive the most meaningful discovery.

This isn't remote analysis or academic consulting. You'll be on-site and on the front lines, building relationships and credibility with scientists and research leaders, identifying the highest-leverage biological problems, and applying AI agents to generate and validate novel findings in fast cycles. You'll operate with a high degree of scientific independence and serve as the bridge between what our engineers and platform and what the science actually requires, feeding insights back to our product and applied AI teams to shape how our agents reason about biology.

Responsibilities

• Improving the ability of LLM agents to execute long, coherent data-driven discovery tasks within real-world scientific environments and customer data infrastructures.

• Designing benchmarks to evaluate LLM agent performance, acceptance criteria, and failure modes on complex scientific tasks.

• Partnering directly with scientists and research leaders at client organizations to apply AI agents and make novel discoveries in biology.

• Serving as the scientific authority on AI-generated findings, evaluating the accuracy of discoveries for biological validity, identifying failure modes, and determining what warrants further investigation.

• Contributing to internal knowledge artifacts, scientific playbooks, and publications that advance the field of AI-driven biological discovery.

• Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation.

• Build trusted relationships with research scientists and research leaders with customers, earning credibility as both a scientific peer and a knowledgeable AI practitioner.

Requirements

• PhD in biological science, broadly defined; or equivalent demonstrated depth through professional experience.

• Familiarity with the regulatory and compliance landscape in pharma or biotech research.

• Experience analyzing one or more of the following types of complex biological data in a first-author publication: sc-omics data, high throughput screen data, proteomics or lipidomics data, human genetic data, imaging data, or protein structure data.

• Deep expertise in one area of mammalian biology and track record to rapidly develop working fluency in adjacent domains.

• Hands-on experience working with LLM and agentic AI tools in a biological research context.

• Strong critical thinking skills and ability to identify mistakes in LLM-generated analyses.

• Experience presenting scientific findings to both scientific and non-scientific audiences, across all levels, communicating biological complexity, AI limitations, and research outcomes.

Bonus points for

• Strong proficiency in Python and/or TypeScript/JavaScript with deep fundamentals

• You enjoy quickly iterating on ideas through rapid prototyping.

• You operate with high independence, and like to execute complex tasks to completion in a high-stakes environment.

• You thrive when working on a diversity of projects in sprint-based formats, and have high comfort with uncertainty.

• You are proficient in experimental design, and could execute experiments yourself or via a CRO if necessary.

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

Why join us?

• 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

• 401(k) company matching

• $300 health and wellness benefit

• Lunch is on us every day you're in the office, and dinner is on us when you're working late

• Regular team offsites and company events

• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

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.