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 could one day transform cancer care for millions of patients?
We're looking for an Oncology Clinical Researcher to bring real-world clinical trial expertise into cutting-edge AI development. You'll evaluate, guide, and validate AI-generated oncology content — ensuring it meets the rigorous scientific, regulatory, and clinical standards that this field demands.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely meaningful — on their own schedule.
- 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, study design, regulatory compliance, and ethical standards
- Analyze cancer trial data including safety profiles, efficacy endpoints, and biomarker results to assess treatment performance
- Translate trial outcomes into the kind of rigorous scientific and regulatory reporting used for FDA/EMA submissions and clinical decision-making
- Review AI-generated oncology insights and clinical content for scientific accuracy, regulatory alignment, and real-world clinical relevance
- Help shape how frontier AI systems understand, interpret, and communicate complex oncology data
Who You Are
- Experienced in designing and managing oncology clinical trials — from protocol development through to data readout
- Strong working knowledge of oncology clinical data analysis, including endpoints, safety reporting, and biomarker evaluation
- 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 standards you'd apply in a real clinical or regulatory setting
- Comfortable working independently and asynchronously in a remote environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
- Background in oncology drug development, medical writing, or clinical operations
- Experience preparing or reviewing regulatory dossiers, clinical study reports, or scientific publications
Why Join Us
- Work directly on frontier AI systems being developed alongside the world's leading AI research labs
- Be among the first oncology experts to influence how AI reasons about real cancer trial data
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the substance of genuinely impactful, domain-expert work
- Potential for ongoing work and contract extension as new AI projects launch