Computational Biologist

🕒 Julho 27

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Edison Scientific

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2025

🤖 Inteligência Artificial

🧬 Biotecnologia

☁️ SaaS

Artificial Intelligence • Biotechnology • SaaS

A Edison Scientific é uma empresa de plataforma de P&D impulsionada por IA que desenvolve o Kosmos — um "Cientista de IA" projetado para acelerar a descoberta e o desenvolvimento de medicamentos biofarmacêuticos. A empresa combina aprendizado de máquina, agentes específicos de domínio e expertise científica incorporada para ler literatura, analisar dados experimentais, gerar e testar hipóteses e executar fluxos de trabalho científicos ao longo de todo o ciclo de desenvolvimento de medicamentos. A Edison oferece implantações prontas para empresas, on-premises (compatíveis com SOC2 Tipo II), modelos de mundo personalizados construídos a partir de dados proprietários, e cientistas destacados para colaborar com equipes de pesquisa biofarmacêutica e acadêmica. Eles destacam parcerias com organizações como Incyte Corporation e Population Health Partners e publicaram benchmarks e ferramentas de pesquisa (por exemplo, ChemCrow, PaperQA, Aviary, Robin).

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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