Member of Technical Staff – Biostatistics

🕒 Setembro 10

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $250.000 / ano

⏰ Tempo Integral

🔴 Especialista

🖥 Engenheiro de Software

👻 Score fantasma 1%

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Edison Scientific

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

• Build and evaluate AI agent systems to automate statistical analysis and clinical development workflows • Work directly with pharma and biotech organizations as a forward-deployed biostatistics subject matter expert • Create benchmarks measuring agent performance on trial design, SAP development, and submission-quality statistical deliverables • Improve agent performance with the internal AI engineering team • Understand partners’ statistical methodology, study design conventions, and regulatory requirements • Improve LLM agents’ ability to execute coherent statistical analysis and trial design tasks in scientific environments and customer data infrastructures • Design benchmarks, acceptance criteria, and failure modes for complex biostatistical tasks • Partner with client biostatisticians and clinical development leaders on AI applications for statistical and regulatory deliverables • Serve as statistical authority on AI-generated outputs, evaluating accuracy and regulatory soundness • Identify failure modes and determine what warrants further investigation • Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation • Build trusted relationships with customer biostatisticians and research leaders

🎯 Requisitos

• 5+ years of experience in biostatistical applications within biotech or pharma (sponsor or CRO) • Graduate degree in Statistics, Biostatistics, or a related discipline • Proven expertise in crafting SAPs, determining sample sizes, and designing early-phase (I/II) clinical trials • Proficiency in R and/or SAS • Experience in therapeutic areas such as oncology, immuno-oncology, immunology, cardiovascular, neurology, or hepatology (MASH) preferred • Deep familiarity with ICH and FDA regulatory standards • Direct experience with CSRs, IND filings, and CDISC-compliant datasets (SDTM/ADaM) • Prior experience in an industry or client-facing context, outside of academia • Ability to travel domestically 20–40% of the time • Proficiency in Python and/or TypeScript/JavaScript is a bonus • Proficiency in statistical programming and validation, with ability to QC or independently reproduce an analysis if necessary

🏖️ Benefícios

• Competitive salary and equity • Full healthcare coverage; 100% of premiums paid for you and your dependents • Yearly new parent stipend • Fertility coverage through Carrot • Mental health support through Rula • 12 weeks of paid parental leave for maternity, paternity, and adoption • Yearly employer-funded pet care stipend • Commuter benefits for transit and parking with pre-tax dollars • 401(k) company matching • $300 quarterly health and wellness benefit • Lunch provided every day in the office • Dinner provided when working late • Regular team off-sites and company events

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