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Edison Scientific

AI platform for scientific R&D workflows

Clinical Operations Subject Matter Expert

Clinical Research OperationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in clinical operations or clinical development within the pharmaceutical or biotechnology industry, ideally within a sponsor organization.
  • A bachelor's degree is required.
  • Experience designing Phase I through III clinical trials, with strong expertise in study design and protocol development.
  • Experience in oncology, immuno-oncology, immunology, cardiovascular, neurology, or hepatology (MASH) therapeutic areas.
  • Experience analyzing clinical trial data and translating findings into operational decisions.
  • Strong knowledge of Good Clinical Practice (GCP) guidelines and regulatory requirements for clinical trial conduct.
  • Familiarity with the end-to-end trial lifecycle, from startup through closeout.
  • Ability to travel domestically 20–40% of the time.

Responsibilities

  • Evaluate and improve AI agent performance on clinical operations tasks, including protocol development, study design, site feasibility, patient enrollment strategy, and clinical data analysis.
  • Design benchmarks and acceptance criteria for clinical-trial-focused agent workflows.
  • Partner with clinical operations and development teams at client organizations to integrate AI agents into their trial planning and execution workflows.
  • Serve as the clinical operations authority on AI-generated outputs, assessing operational feasibility, GCP compliance, and alignment with real-world trial execution.
  • Collaborate daily with Forward Deployed Engineers and Computational Biologists on each account.
  • Support engagement scoping, success metrics, and technical evaluation with go-to-market teams.

Desired Qualifications

  • An advanced degree is preferred.
  • Medical monitoring or Study Management experience.
  • Familiarity with clinical trial management systems (CTMS), electronic data capture (EDC) platforms, or trial analytics tools.
  • Python proficiency.

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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