Clinical Systems Analyst (AI Training) About the Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Oncology Clinical Researcher
Remote (Global)
$40 – $80/hr
June 22, 2026
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 the tools that may one day transform how cancer is diagnosed and treated?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and inform AI systems being trained on oncology data — ensuring they reflect the scientific, regulatory, and clinical standards that actually matter in cancer research.
This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical accuracy.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial protocols, covering patient enrollment, regulatory compliance, and ethical standards
- Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance
- Translate trial outcomes into regulatory and scientific frameworks aligned with FDA, EMA, and other major agency standards
- Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment
- Flag errors, gaps, and misrepresentations in AI outputs related to cancer research and clinical trial methodology
- 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, including endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented with a systematic, rigorous approach to scientific evaluation
- Able to communicate complex clinical concepts clearly in written form
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality review, or evaluation systems
- Background in translational oncology or clinical operations
- Experience contributing to peer-reviewed publications or regulatory submissions
- Familiarity with AI tools or clinical informatics platforms
Why Join Us
- Work directly on frontier AI systems being built to understand and advance cancer research
- Influence how AI models reason about real oncology data — a genuinely rare opportunity
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
Apply now
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