Oncology Clinical Researcher
- Pay
- $40–$80/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Jul 24, 2026
- Languages
- English
- Who can apply
- Not available in Kenya, Afghanistan, Burundi, Central African Republic, Republic of the Congo, Cuba, Dr Congo, Eritrea, Guinea, Guinea Bissau, Iran, Iraq, Liberia, Libya, Myanmar, North Korea, Papua New Guinea, Somalia, South Sudan, Sudan, Syria, Vanuatu, Venezuela, Yemen
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 tools that researchers, clinicians, and drug developers rely on worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring the models powering tomorrow's cancer research are grounded in accurate, clinically valid, and regulatory-aligned science.
This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms.
- 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 trial design expertise to assess study protocols, patient enrollment logic, and compliance with ethical and regulatory standards
- Analyze AI outputs related to cancer trial data — including safety profiles, efficacy endpoints, and biomarker findings
- Evaluate AI-generated regulatory and scientific reporting against FDA/EMA submission standards
- Provide structured, expert feedback that directly improves how frontier AI systems 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, methodical, and capable of delivering clear, well-reasoned evaluations
- Able to translate complex clinical and scientific knowledge into structured, actionable feedback
Nice to Have
- Prior experience with data annotation, data quality, or AI evaluation workflows
- Background in translational oncology or clinical pharmacology
- Experience contributing to publications, regulatory dossiers, or scientific communications
Why Join Us
- Work directly on frontier AI systems transforming how the world understands cancer research
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Influence how AI models reason about real oncology data at the cutting edge of science
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
