Oncology Clinical Researcher (AI Training)
About The Role
What if your expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that may one day transform how cancer is diagnosed and treated?
We're looking for Oncology Clinical Researchers to bring deep, real-world clinical trial knowledge into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that the oncology data, insights, and reasoning powering next-generation AI systems are scientifically rigorous, clinically accurate, and regulatory-compliant.
This is a fully remote, flexible contract role. No AI background required — just deep expertise in oncology clinical research and a sharp eye for scientific 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 — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs
- Analyze how AI handles cancer trial data, including safety profiles, efficacy results, and biomarker findings
- Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
- Provide structured, expert feedback that directly shapes how AI models reason about real-world 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 and methodical, with high standards for scientific accuracy
- Able to clearly articulate complex clinical reasoning in written evaluations
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology, biomarker research, or regulatory affairs
- Experience contributing to peer-reviewed publications or clinical decision-making frameworks
Why Join Us
- Work directly on frontier AI systems with the potential to transform cancer research and care
- Influence how AI models understand, interpret, and reason about real oncology data
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch