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Salary: USD 180,000 - 250,000 / annual
Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. As a Forward-Deployed Biostatistician (Member of Technical Staff), you will be embedded directly with leading pharma and biotech organizations to build, evaluate, and improve AI agent systems that automate statistical analysis and clinical development workflows.
You will serve as the statistical authority ensuring Edison's AI agents deliver statistically sound, regulator-ready outputs. Your core responsibilities include: improving LLM agent performance on long, coherent statistical analysis and trial design tasks within real-world scientific environments; designing benchmarks to evaluate agent performance on complex biostatistical tasks such as SAP development, sample size determination, and endpoint analysis; partnering directly with biostatisticians and clinical development leaders at client organizations to apply AI agents to statistical and regulatory deliverables; evaluating the accuracy and regulatory soundness of AI-generated outputs and identifying failure modes; scoping engagements with GTM and account executives to define success metrics and support pre-sales technical evaluation; and building trusted relationships with biostatisticians and research leaders at customers as both a statistical peer and knowledgeable AI practitioner.
You will work at the intersection of biostatistics, regulatory science, and AI engineering, translating complex customer requirements into benchmarks and performance improvements. This role requires deep domain expertise in clinical biostatistics combined with the ability to rapidly iterate on AI systems and operate with high independence in a fast-moving, mission-driven environment.
REQUIREMENTS:
- 5+ years of experience in biostatistical applications within biotech or pharma (sponsor or CRO)
- Graduate degree (Ph.D. preferred) in Statistics, Biostatistics, or related discipline
- Proven expertise in crafting SAPs, determining sample sizes, and designing early-phase (I/II) clinical trials
- Proficiency in R and/or SAS (both preferred)
- Deep familiarity with ICH and FDA regulatory standards, including 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
- Experience in therapeutic areas such as oncology, immuno-oncology, immunology, cardiovascular, neurology, or hepatology (MASH) preferred
- Proficiency in Python and/or TypeScript/JavaScript preferred
- High independence and ability to execute complex tasks to completion in high-stakes environments
- Comfort with uncertainty and ability to thrive on diverse projects in sprint-based formats
- Proficiency in statistical programming and validation; ability to QC or independently reproduce analyses
