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 impact millions of patients? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that the systems being built to transform cancer research are grounded in accurate, regulatory-aligned, and scientifically sound clinical knowledge. This is a fully remote, flexible contract role. No AI background needed - just deep oncology expertise and a sharp eye for clinical quality.

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

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your expertise in trial design - including protocol development, patient enrollment standards, and ethical compliance - to assess and improve AI outputs
• Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker findings
• Evaluate how well AI systems translate trial outcomes into regulatory and scientific contexts relevant to FDA/EMA standards
• Provide structured, expert feedback that directly shapes how frontier AI models reason about real 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 command of oncology clinical data analysis - endpoints, safety profiles, biomarkers, and beyond
• Solid familiarity with regulatory submission standards for agencies such as the FDA or EMA
• Naturally detail-oriented with a rigorous, systematic approach to evaluating clinical information
• Able to communicate complex clinical findings clearly and concisely in written form
• No prior AI or tech experience required

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation workflows
• Background in translational oncology, clinical pharmacology, or regulatory affairs
• Experience authoring or reviewing clinical study reports, IND/NDA submissions, or publications
• Familiarity with AI tools or clinical decision support platforms as an end user

Why Join Us

• Work directly on frontier AI systems that are transforming how cancer research is conducted
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact project work
• Influence how AI models understand, evaluate, and reason about real-world oncology data
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch