Job Description
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 research that could one day transform patient outcomes worldwide?
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 trial data, insights, and outputs meet the highest scientific, regulatory, and clinical standards.
This is a fully remote, flexible contract role built for working oncology professionals and researchers who want to apply their expertise beyond the lab or clinic.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week
What You'll Do - Design and evaluate oncology clinical trial frameworks - including study protocols, patient enrollment criteria, and regulatory compliance standards - for use in AI training workflows
- Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevance
- Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
- Review and evaluate AI-generated clinical insights, flagging inaccuracies and ensuring outputs reflect real-world oncology practice
- Provide expert judgment on how well AI models interpret and reason about complex oncology data
- 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 - endpoints, safety profiles, biomarkers, and statistical outputs
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented, methodical, and confident in making expert clinical judgments
- Comfortable working independently on structured, task-based assignments
Nice to Have - Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
- Background in translational oncology, precision medicine, or biomarker-driven trial design
- Experience authoring or reviewing clinical study reports, publications, or regulatory dossiers
- Familiarity with AI tools or clinical data platforms as an end user
Why Join Us - Work directly on frontier AI systems being developed alongside the world's leading research labs
- 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, expert-level work
- Contribute to AI-driven oncology research with genuine potential to impact cancer care
- Potential for ongoing work and contract extension as new projects launch
Job Tags
Hourly pay, Ongoing contract, Contract work, Freelance, Worldwide, Flexible hours