Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)  What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that will define the future of cancer research and treatment? We’re looking for Oncology Clinical Researchers to bring real-world clinical expertise into AI-driven research and evaluation workflows. Your experience designing trials, analyzing data, and navigating regulatory standards will ensure that the AI systems being built today reflect the scientific rigor and clinical accuracy that oncology demands.

This is a fully remote, flexible contract role — no relocation, no rigid schedule, just meaningful work on your own terms.
Organization:
Alignerr
Type:
Hourly Contract

Location:

Remote
Commitment: 10–40 hours/week
What You'll Do   Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
Apply your trial design expertise to assess how well AI models represent real-world oncology study protocols, endpoints, and enrollment standards
Analyze AI outputs involving cancer trial data — including safety profiles, efficacy results, and biomarker interpretation — and provide structured expert feedback
Evaluate AI-generated regulatory and scientific content against FDA, EMA, and ICH submission standards
Translate your clinical knowledge into clear, actionable annotations and assessments that directly improve AI model performance
Work independently and asynchronously on task-based assignments — fully on your own schedule

Who You Are   Experienced in designing and managing oncology clinical trials — from protocol development through data readout
Strong analytical background in oncology clinical data, including primary and secondary endpoints, safety monitoring, and biomarker analysis
Familiar with regulatory submission standards for major agencies such as the FDA or EMA
Detail-oriented and systematic — you notice when clinical reasoning doesn't hold up
Clear and precise written communicator able to document expert feedback in structured formats
Self-motivated and reliable when working independently
Nice to Have   Prior experience with data annotation, data labeling, or AI evaluation workflows
Background in translational oncology, biostatistics, or clinical pharmacology
Experience contributing to regulatory submissions, clinical study reports, or scientific publications
Familiarity with AI tools or research platforms as an end user
Why Join Us   Work directly on frontier AI systems being built to transform cancer research
Influence how AI models understand, reason about, and communicate real oncology science
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-driven work
Collaborate with world-leading AI research teams and labs
Potential for ongoing work and contract extension as new projects launch