Oncology Clinical Researcher

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific rigor
• Apply your expertise in trial design — protocols, patient enrollment, endpoints, and ethics — to assess how well AI captures real-world standards
• Analyze AI outputs related to cancer trial data, including safety profiles, efficacy results, and biomarker interpretation
• Evaluate AI-generated regulatory and scientific content against FDA, EMA, and ICH standards
• Flag errors, gaps, or misleading outputs and provide structured, expert feedback
• 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 — endpoints, safety profiles, biomarkers, and statistical outputs
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented with a systematic approach to evaluating complex scientific content
• Comfortable working independently and delivering high-quality written feedback
• No prior AI or tech experience required
• Nice to have:
• Experience with data annotation, data quality review, or evaluation systems
• Background in translational oncology, biomarker research, or precision medicine
• Familiarity with clinical trial phases across solid tumors or hematologic malignancies
• Prior involvement in regulatory submissions, publications, or clinical guideline development