Jobs · Research

Oncology Clinical Researcher

Alignerr · United States · 1 wk ago
RemoteRemoteResearchContract

About the Role

What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that researchers, clinicians, and scientists rely on worldwide?

We're looking for Oncology Clinical Researchers to bring real-world expertise into AI-driven research workflows. You'll evaluate, guide, and improve how advanced AI systems understand cancer trial data, regulatory science, and clinical evidence — ensuring the AI that's transforming oncology is grounded in rigorous, real-world standards.

Organization

Alignerr

Type

Hourly Contract

Location

Remote

Commitment

10–40 hours/week

What You'll Do

  • Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
  • Apply your experience designing and managing cancer clinical trials — including protocol development, patient enrollment, and compliance — to assess how well AI handles these workflows
  • Analyze AI outputs covering safety, efficacy, and biomarker data to determine whether they reflect real-world oncology standards
  • Assess the quality of AI-generated regulatory and scientific reports against FDA/EMA submission standards
  • Provide structured, detailed feedback that helps frontier AI systems reason more accurately about cancer research
  • Work independently and asynchronously — fully on your own schedule

Who You Are

  • Experienced in designing and managing oncology clinical trials from protocol development through data readout
  • Strong background in analyzing oncology clinical data, including endpoints, safety profiles, and biomarkers
  • Familiar with regulatory submission standards for agencies such as the FDA or EMA
  • Detail-oriented and rigorous — you notice when clinical or scientific reasoning doesn't hold up
  • Clear and concise written communicator
  • No prior AI or tech experience required

Nice to Have

  • Prior experience with data annotation, data quality, or evaluation systems
  • Background in translational oncology, medical writing, or regulatory affairs
  • Experience working across multiple cancer types or therapeutic areas
  • Familiarity with AI tools or clinical decision-support platforms as an end user

Why Join Us

  • Work directly on frontier AI systems that are transforming how the world understands and fights cancer
  • Influence how AI models reason about real oncology data — at a scale no individual trial could reach
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Collaborate with world-leading AI research teams and labs
  • Potential for ongoing work and contract extension as new projects launch

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