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