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Pathos

AI-powered platform for oncology drug development

Clinical Operations Program Lead

Clinical Research OperationsUpdated on Nov 15
Full-timeNew York, NY, USA$180k - $220k /yr

About the Job

Requirements

  • A bachelor's degree in a scientific, nursing, or related field is required; an advanced degree is a plus.
  • At least 10 years of clinical operations experience in biotech, pharma, or CRO settings, including demonstrated program-level strategic leadership.
  • A proven track record leading clinical trials end to end across Phase 1 to 3, from startup through database lock.
  • Deep hands-on clinical trial management experience, including CRO and vendor selection and oversight, timelines, budgets, enrollment, and monitoring strategy.
  • Direct experience in oncology drug development.
  • Experience owning and managing large external study budgets.
  • Strong command of ICH/GCP and applicable global regulatory requirements.
  • Experience in both a small or emerging biotech and a larger pharma or CRO environment, with the versatility to operate strategically and tactically in each.

Responsibilities

  • Own clinical operational strategy for one or more oncology programs, translating asset and development strategy into actionable, phase-appropriate operational plans.
  • Serve as the single point of accountability for operational delivery across assigned studies, ensuring delivery on time, on budget, and to quality standards.
  • Orchestrate AI agents to assess program-level risk, model timeline and enrollment scenarios, and surface trade-offs for decision-making.
  • Own external study budgets and forecasts, from vendor spend through program-level financial planning.
  • Run studies end to end, including startup, site activation, enrollment, conduct, monitoring oversight, close-out, and database lock, using AI agents for operational execution.
  • Deploy agentic systems for continuous trial oversight, including tracking site and vendor performance, detecting emerging risks and data trends, and escalating issues.
  • Select, contract, and manage CROs and specialty vendors, holding them accountable to scope, timelines, quality, and budget, with agents monitoring deliverables in real time.
  • Direct AI agents to draft, assemble, and maintain operational documentation, trial master files, plans, and reports, keeping records inspection-ready.
  • Ensure all trial activity, whether human- or agent-executed, meets ICH/GCP standards, applicable regulations, and Pathos SOPs.
  • Contribute clinical operations content to regulatory filings and health-authority interactions.
  • Partner across Clinical Development, Regulatory, Data Management, Biometrics, and Research to keep the program aligned and unblocked.
  • Set operational standards for the team and AI agents as the function scales.

Desired Qualifications

  • Experience taking an oncology asset through pivotal or late-stage trials.
  • Track record building or scaling clinical operations infrastructure, such as SOPs, vendor frameworks, or operating models, from an early stage.
  • Experience using AI, ML, or automation to run or accelerate clinical operations, and enthusiasm for orchestrating agentic systems rather than growing headcount.

About the Company

Pathos

AI-powered platform for oncology drug development

Pathos combines artificial intelligence with oncology to speed up cancer drug development. It analyzes large oncology datasets, including genomics, using advanced AI and machine learning to identify novel therapeutic targets and biomarkers, guiding the creation of more effective, personalized cancer treatments. The company collaborates with pharmaceutical and biotechnology partners to de-risk pipelines, shorten development timelines, and increase the odds of success for new cancer therapies. Pathos differentiates itself by offering an integrated data-driven platform that leverages diverse genomic and clinical data to drive target validation and biomarker discovery for partner programs. Its goal is to accelerate the delivery of better cancer treatments by turning complex data into actionable insights.

Company size
51-200
Company stage
Series D
Total funding
$447M
Headquarters
Chicago, IL
Founded
2022

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