Oncology Clinical Researcher
Alignerr
Seattle, WA
Information Technology, Science / R&D / Research, Analyst
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 systems that may one day transform how cancer is diagnosed and treated?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and inform AI-generated oncology content — ensuring it meets the scientific, regulatory, and clinical standards that matter in the real world.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule.
About The Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing systems that may one day transform how cancer is diagnosed and treated?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and inform AI-generated oncology content — ensuring it meets the scientific, regulatory, and clinical standards that matter in the real world.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate AI-generated clinical insights for oncology accuracy, regulatory alignment, and scientific validity
- Apply your expertise in trial design — protocols, patient enrollment, compliance, and regulatory standards — to assess AI outputs
- Review cancer trial data interpretations, including safety profiles, efficacy analyses, and biomarker findings
- Identify gaps or errors in how AI systems represent oncology concepts, clinical methodology, and trial outcomes
- Provide structured, expert-level feedback that directly shapes how frontier AI models reason about cancer research
- Work independently and asynchronously on your own schedule
- 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 treatment outcomes
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and able to provide precise, well-reasoned written feedback
- Self-motivated and reliable when working independently
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or biomarker-driven trial design
- Experience contributing to FDA/EMA submissions, clinical publications, or regulatory affairs
- Familiarity with AI tools or clinical decision-support systems
- Work directly on frontier AI systems being built to transform 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 understand real oncology data at a foundational level
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch