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 understands and reasons about oncology — influencing the future of cancer research and treatment at scale?

We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory rigor to cutting-edge AI development. You'll work alongside leading AI research teams to ensure the oncology data powering next-generation AI models reflects the highest standards of clinical accuracy, regulatory compliance, and scientific integrity.

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: 10–40 hours/week

What You'll Do

• Design and evaluate oncology clinical trial protocols — bringing your expertise in patient enrollment, regulatory compliance, and study design to AI training workflows
• Analyze cancer trial data including safety profiles, efficacy endpoints, and biomarker results to assess treatment performance and clinical relevance
• Translate trial outcomes into clear regulatory and scientific frameworks aligned with FDA/EMA submission standards
• Review and critique AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
• Help ensure that AI systems reasoning about oncology data reflect real-world clinical and regulatory standards
• 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 clinical oncology data — including primary and secondary 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 AI outputs to the same standards you'd apply to real-world research
• Self-motivated and comfortable working independently without day-to-day supervision

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI model assessment
• Background in oncology-specific regulatory affairs or clinical operations
• Experience writing or reviewing clinical study reports, IND/NDA submissions, or publications
• Familiarity with AI tools or evaluation platforms as an end user

Why Join Us

• Work directly on frontier AI systems that are transforming how the world approaches cancer research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the substance of meaningful, high-impact scientific work
• Contribute to AI development that could reshape clinical decision-making and cancer treatment globally
• Potential for ongoing work and contract extension as new projects launch