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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
Worksite address
kansas city, KS, 66115, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.