Oncology Clinical Researcher

Oncology Clinical Researcher

What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology influencing the tools that researchers, clinicians, and scientists rely on worldwide?

We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, review, and improve AI-generated oncology content ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research.

This is a fully remote, flexible contract role built for experienced oncology professionals. No AI background required just deep knowledge of cancer clinical trials and a sharp eye for accuracy.

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 validity, and regulatory alignment
• Apply your expertise in trial design including protocol development, patient enrollment, and compliance to assess AI outputs against real-world standards
• Analyze AI-generated interpretations of cancer trial data, including efficacy, safety, and biomarker findings
• Evaluate the quality of AI-produced regulatory and scientific documentation against 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 with a systematic, thorough approach to evaluating complex scientific content
• Able to communicate expert feedback clearly and concisely in written form
• No prior AI or tech experience required

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in translational oncology or biomarker-driven research
• Experience contributing to publications, clinical study reports, or regulatory dossiers
• Familiarity with AI tools or clinical decision-support platforms as an end user

Why Join Us

• Work directly on frontier AI systems transforming the future of cancer research
• Fully remote and flexible work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-driven work
• Influence how AI models understand, interpret, and communicate real oncology science
• Potential for ongoing work and contract extension as new projects launch
• Collaborate with world-leading AI research teams and labs on high-impact projects