What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research tools used by scientists and clinicians around the world?
We're looking for experienced Oncology Clinical Researchers to bring real-world rigor to cutting‑edge AI development. You'll work with leading AI research teams to ensure that oncology trial data, clinical insights, and regulatory standards are accurately reflected in next‑generation AI systems.
This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms.
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
Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance
Translate trial outcomes into structured regulatory and scientific reports aligned with FDA/EMA submission standards
Review and evaluate AI-generated clinical insights for accuracy, clinical relevance, and regulatory soundness
Help ensure AI models reason correctly about real oncology data — from trial design through data readout
Who You Are
Experienced in designing and managing oncology clinical trials from protocol development through final data readout
Strong background in analyzing oncology clinical data — including primary and secondary endpoints, safety profiles, and biomarker results
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and rigorous — you hold AI-generated content to the same standard you'd apply in a real clinical setting
Comfortable working independently and asynchronously on your own schedule
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation workflows
Background in translational oncology, precision medicine, or companion diagnostics
Experience contributing to or reviewing publications, INDs, or NDAs
Why Join Us
Work directly on frontier AI systems transforming how cancer research is understood and applied
Influence how AI models interpret, evaluate, and communicate real oncology data
Fully remote and flexible — structure your work around your life, not the other way around
Collaborate with world-leading AI research teams on problems that actually matter
Freelance autonomy with the substance of genuinely impactful, expert-level work
Potential for ongoing work and contract extension as new projects launch
We use essential cookies to make this site work. With your permission we would also like to use the optional cookies below. Nothing optional is set until you choose, and you can change your mind at any time from "Cookie settings" at the bottom of every page. Cookie policy.
Essential — keep the site working and secure, and remember the choice you make here. Always on.