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 future of cancer research and treatment at scale?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory rigor to cutting-edge AI development. You'll work alongside leading AI research teams to ensure the oncology data powering next-generation AI models reflects the highest standards of clinical accuracy, regulatory compliance, and scientific integrity.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative --- 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 --- bringing your expertise in patient enrollment, regulatory compliance, and study design to AI training workflows
- Analyze cancer trial data including safety profiles, efficacy endpoints, and biomarker results to assess treatment performance and clinical relevance
- Translate trial outcomes into clear regulatory and scientific frameworks aligned with FDA/EMA submission standards
- Review and critique AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
- Help ensure that AI systems reasoning about oncology data reflect real-world clinical and regulatory standards
- 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 clinical oncology data --- including primary and secondary endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous --- you hold clinical AI outputs to the same standards you'd apply to real-world research
- Self-motivated and comfortable working independently without day-to-day supervision
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI model assessment
- Background in oncology-specific regulatory affairs or clinical operations
- Experience writing or reviewing clinical study reports, IND/NDA submissions, or publications
- Familiarity with AI tools or evaluation platforms as an end user
Why Join Us
- Work directly on frontier AI systems that are transforming how the world approaches cancer research
- Fully remote and flexible --- work when and where it suits you
- Freelance autonomy with the substance of meaningful, high-impact scientific work
- Contribute to AI development that could reshape clinical decision-making and cancer treatment globally
- Potential for ongoing work and contract extension as new projects launch
