Computational Biologist

🔥 30 minutes ago

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Edison Scientific

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2025

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

Artificial Intelligence • Biotechnology • SaaS

Edison Scientific is an AI-driven R&D platform company that builds Kosmos — an "AI Scientist" designed to accelerate biopharma drug discovery and development. The company combines machine learning, domain-specific agents, and embedded scientific expertise to read literature, analyze experimental data, generate and test hypotheses, and execute scientific workflows across the full drug development lifecycle. Edison provides enterprise-ready, on‑prem deployments (SOC2 Type II compliant), custom world models built on proprietary data, and forward‑deployed scientists to partner with biopharma and academic research teams. They highlight partnerships with organizations such as Incyte Corporation and Population Health Partners and have published benchmarks and research tools (e. g. , ChemCrow, PaperQA, Aviary, Robin).

📋 Description

• 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.

🏖️ Benefits

• 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