Oncology Clinical Researcher

About the Role

What if your deep expertise in cancer clinical trials could directly shape how AI understands, reasons about, and advances oncology research? We're looking for Oncology Clinical Researchers to bring real-world clinical knowledge into cutting-edge AI training and evaluation workflows — ensuring the AI systems influencing cancer care are grounded in rigorous, regulatory-grade science.

Organization

Alignerr

Type

Hourly Contract

Location

Remote

Commitment

10–40 hours/week

What You'll Do

• Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, endpoint selection, and compliance with regulatory and ethical standards
• Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and clinical relevance
• Translate trial findings into clear regulatory and scientific outputs aligned with FDA, EMA, or equivalent submission standards
• Review and evaluate AI-generated clinical insights for scientific accuracy, clinical appropriateness, and regulatory alignment
• Provide structured, expert feedback that directly improves how AI models reason about 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 endpoints, safety data, and biomarker results
• Familiar with regulatory submission frameworks for agencies such as the FDA or EMA
• Detail-oriented and methodical — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI assessment workflows
• Background in oncology subspecialties such as hematology, immunotherapy, or precision medicine
• Experience authoring or reviewing clinical study reports, IND/NDA submissions, or peer-reviewed publications
• Familiarity with biostatistics or clinical data management

Why Join Us

• Work directly on frontier AI systems transforming how the world understands and fights cancer
• Influence how AI models learn to reason about real oncology data — your expertise shapes the output
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Collaborate with leading AI research teams pushing the boundaries of medical AI
• Potential for ongoing work and contract extension as new projects launch