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 may one day transform how cancer is detected, treated, and survived?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology data used to train and evaluate advanced AI systems reflects genuine regulatory, scientific, and clinical standards.

This is a fully remote, adaptable 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

What You'll Do

- Design and evaluate oncology clinical trial protocols — including patient enrollment criteria, endpoints, and regulatory compliance frameworks
- Analyze cancer trial data spanning safety profiles, efficacy outcomes, and biomarker results to assess treatment performance
- Translate trial findings into structured regulatory and scientific outputs aligned with FDA/EMA submission standards
- Review and critique AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
- Identify gaps, errors, and limitations in how AI models interpret and represent oncology research




- Provide expert-level feedback that directly shapes how frontier AI systems reason about cancer data

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 primary and secondary endpoints, safety signals, and biomarker analysis
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you hold AI-generated content to the same standards you'd apply to a regulatory document
- Comfortable working independently and asynchronously in a remote environment

Nice to Have

- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in translational oncology or early-phase clinical research
- Experience authoring or reviewing clinical study reports, INDs, or NDAs
- Familiarity with oncology-specific endpoints such as OS, PFS, ORR, or tumor mutational burden

Why Join Us

- Work directly on frontier AI systems with the potential to transform cancer research and clinical care
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance autonomy with the structure of impactful, expertise-driven work
- Influence how AI models understand real oncology science — your knowledge shapes the output
- Collaborate with world-class AI researchers and clinicians from across the globe
- Potential for contract extension as new oncology AI projects launch

📌 Oncology Clinical Researcher (México)
🏢 Alignerr
📍 México