Oncology Clinical Researcher
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used in cancer research and care?
About the role
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial knowledge into cutting-edge AI development workflows. You'll evaluate, validate, and improve AI-generated oncology insights — ensuring that the models shaping the future of cancer research are grounded in rigorous science, clinical accuracy, and regulatory reality. This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — on their own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
Responsibilities
- Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
- Apply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, and compliance standards
- Analyze and validate AI-generated interpretations of cancer trial data — including safety profiles, efficacy endpoints, and biomarker results
- Assess the quality of AI-generated regulatory and scientific content relevant to FDA/EMA submission standards
- Provide structured, expert feedback that directly improves how AI models understand and reason about oncology
- Work independently and asynchronously — fully on your own schedule
Requirements
- 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 and rigorous — you hold clinical and scientific content to a high standard
- Able to communicate complex oncology concepts clearly in written form
- Comfortable working independently on structured, task-based assignments
Skills
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows (nice to have)
- Background in oncology research publications or clinical decision support (nice to have)
- Experience across multiple cancer types or trial phases (nice to have)
- Familiarity with AI tools or clinical informatics platforms (nice to have)
Benefits
- Work directly on frontier AI systems with the potential to transform cancer research
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Influence how AI models understand real-world oncology data at the frontier of the field
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch