Oncology Clinical Researcher

Oncology Clinical Researcher

What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology influencing the next generation of tools used in cancer research and care?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial knowledge into cutting-edge AI development workflows. You'll evaluate, validate, and improve AI-generated oncology insights ensuring that the models shaping the future of cancer research are grounded in rigorous science, clinical accuracy, and regulatory reality.

This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative on their own schedule.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 1040 hours/week

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
• Apply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, and compliance standards
• Analyze and validate AI-generated interpretations of cancer trial data including safety profiles, efficacy endpoints, and biomarker results
• Assess the quality of AI-generated regulatory and scientific content relevant to 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 and rigorous you hold clinical and scientific content to a high standard
• Able to communicate complex oncology concepts clearly in written form
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation workflows
• Background in oncology research publications or clinical decision support
• Experience across multiple cancer types or trial phases
• Familiarity with AI tools or clinical informatics platforms

Why Join Us

• Work directly on frontier AI systems with the potential to transform cancer research
• Fully remote and flexible work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Influence how AI models understand real-world oncology data at the frontier of the field
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch