Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)

About The Role

What if your deep expertise in 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 clinical rigor into cutting-edge AI development. You'll evaluate, review, and improve AI-generated oncology content — ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research.

This is a fully remote, flexible contract role built for experienced oncology professionals. No AI background required — just deep knowledge of cancer clinical trials and a sharp eye for accuracy.

• 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 validity, and regulatory alignment
• Apply your expertise in trial design — including protocol development, patient enrollment, and compliance — to assess AI outputs against real-world standards
• Analyze AI-generated interpretations of cancer trial data, including efficacy, safety, and biomarker findings
• Evaluate the quality of AI-produced regulatory and scientific documentation against FDA/EMA submission standards
• Provide structured, expert feedback that directly improves how AI models understand and reason about oncology
• 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 with a systematic, thorough approach to evaluating complex scientific content
• Able to communicate expert feedback clearly and concisely in written form
• No prior AI or tech experience required

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in translational oncology or biomarker-driven research
• Experience contributing to publications, clinical study reports, or regulatory dossiers
• Familiarity with AI tools or clinical decision-support platforms as an end user

Why Join Us

• Work directly on frontier AI systems transforming the future of cancer research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-driven work
• Influence how AI models understand, interpret, and communicate real oncology science
• Potential for ongoing work and contract extension as new projects launch
• Collaborate with world-leading AI research teams and labs on high-impact projects