Remote Oncology Clinical Researcher for AI Training

Alignerr Corp.

Raleigh (NC)

Remote

USD 83,000 - 165,000

Full time

2 days ago
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Benefits offered by this job

Fully remote
Freelance autonomy
Flexible schedule

Job summary

Alignerr Corp. is seeking an Oncology Clinical Researcher to shape how AI understands oncology content through rigorous review and regulatory alignment.

This fully remote, hourly contract role offers flexible 10–40 hours per week, letting you apply deep clinical expertise on your schedule. You will evaluate AI-generated oncology material, refine study designs, and provide expert feedback to improve model reasoning.

Qualifications

  • Experience designing and managing oncology clinical trials from protocol through data readout.
  • Strong analytical background in oncology clinical data, endpoints, safety, and biomarkers.
  • Familiarity with regulatory submission standards for FDA, EMA, or comparable agencies.
  • Detail-oriented, systematic thinker who communicates clinical reasoning clearly.

Responsibilities

  • Review AI-generated oncology content for clinical accuracy and regulatory alignment.
  • Assess trial design elements: protocols, endpoints, enrollment logic, compliance.
  • Analyze AI outputs on safety signals, efficacy, and biomarker findings.
  • Evaluate AI insights against real-world regulatory standards.
  • Provide structured expert feedback to improve AI model understanding.
  • Work independently and asynchronously on task-based assignments.

Skills

Oncology clinical trials
Trial design
Regulatory standards (FDA/EMA)
Clinical data review
Regulatory alignment

Job description

Alignerr Corp. is seeking an Oncology Clinical Researcher to shape how AI understands oncology content through rigorous review and regulatory alignment.

This fully remote, hourly contract role offers flexible 10–40 hours per week, letting you apply deep clinical expertise on your schedule. You will evaluate AI-generated oncology material, refine study designs, and provide expert feedback to improve model reasoning.

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