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 research that could one day transform patient outcomes worldwide?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology trial data, insights, and outputs meet the highest scientific, regulatory, and clinical standards.

This is a fully remote, flexible contract role built for working oncology professionals and researchers who want to apply their expertise beyond the lab or clinic.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards — for use in AI training workflows
• Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevance
• Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
• Review and evaluate AI-generated clinical insights, flagging inaccuracies and ensuring outputs reflect real-world oncology practice
• Provide expert judgment on how well AI models interpret and reason about complex oncology data
• 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, methodical, and confident in making expert clinical judgments
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
• Background in translational oncology, precision medicine, or biomarker-driven trial design
• Experience authoring or reviewing clinical study reports, publications, or regulatory dossiers
• Familiarity with AI tools or clinical data platforms as an end user

Why Join Us

• Work directly on frontier AI systems being developed alongside the world's leading research labs
• Influence how AI models understand, interpret, and reason about real oncology data
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Contribute to AI-driven oncology research with genuine potential to impact cancer care
• Potential for ongoing work and contract extension as new projects launch

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