Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)
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.
This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical and scientific quality.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• 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

• Work independently and asynchronously — fully on your own schedule

• 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

• No prior AI or tech experience required

• 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

• Familiarity with AI tools or clinical decision-support platforms as an end user

• 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