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Edison Scientific

AI platform for scientific R&D workflows

Forward-Deployed Biostatistician - Biostatistics

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in biostatistical applications within biotech or pharma, either at a sponsor or a contract research organization.
  • A graduate degree in Statistics, Biostatistics, or a related discipline; a Ph.D. is preferred.
  • Expertise in crafting statistical analysis plans, determining sample sizes, and designing early-phase I/II clinical trials.
  • Proficiency in R or SAS; proficiency in both is preferred.
  • Deep familiarity with ICH and FDA regulatory standards, including direct experience with clinical study reports, investigational new drug filings, and CDISC-compliant SDTM and ADaM datasets.
  • Prior experience in an industry or client-facing context outside academia.
  • Ability to travel domestically 20–40% of the time.

Responsibilities

  • Improve the ability of large language model agents to execute long, coherent statistical analysis and trial design tasks within real-world scientific environments and customer data infrastructures.
  • Design benchmarks to evaluate large language model agent performance, acceptance criteria, and failure modes on complex biostatistical tasks such as statistical analysis plan development, sample size determination, and endpoint analysis.
  • Partner directly with biostatisticians and clinical development leaders at client organizations to apply AI agents to statistical and regulatory deliverables.
  • Serve as the statistical authority on AI-generated outputs by evaluating accuracy and regulatory soundness, identifying failure modes, and determining what warrants further investigation.
  • Partner with go-to-market teams and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation.
  • Build trusted relationships with biostatisticians and research leaders at customer organizations, establishing credibility as a statistical peer and knowledgeable AI practitioner.

Desired Qualifications

  • Experience in therapeutic areas such as oncology, immuno-oncology, immunology, cardiovascular disease, neurology, or hepatology (MASH).
  • Proficiency in Python or TypeScript/JavaScript.
  • Enjoy quickly iterating on ideas through rapid prototyping.
  • Ability to work independently and execute complex tasks to completion in a high-stakes environment.
  • Comfort working across diverse projects in sprint-based formats and with uncertainty.
  • Proficiency in statistical programming and validation, including the ability to quality-check or independently reproduce an analysis.

About the Company

Edison Scientific

AI platform for scientific R&D workflows

Edison Scientific provides an AI-powered platform that unifies research tasks in one environment. It combines literature synthesis, data analysis, molecular design, and the creation of publication-ready figures and reports so researchers can move from hypothesis to validated results without switching between many tools. The platform uses natural language processing and machine learning to digest scientific literature and data, automate workflows, and run tasks in parallel to speed up discovery. Compared with competitors, Edison Scientific stands out by offering an integrated, end-to-end R&D workflow that links literature, data, and design in a single platform, reducing manual handoffs and enabling scalable research. The company’s goal is to streamline R&D processes, shorten the time to insight, and help organizations rapidly validate findings and publish their work.

Company size
51-200
Company stage
Seed
Total funding
$70M
Headquarters
San Francisco, CA
Founded
2025

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