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 research that affects millions of patients worldwide
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that the oncology knowledge embedded in frontier AI systems reflects genuine regulatory, scientific, and clinical standards.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to extend their impact beyond the clinic.
- 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 strategies, and regulatory compliance considerations
- Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and scientific validity
- Translate complex trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
- Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment
- Help establish the standard for how AI models reason about real-world oncology data
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 endpoints, safety profiles, and biomarker interpretation
- Solid familiarity with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and comfortable applying scientific judgment in an independent, asynchronous work environment
- Motivated by the opportunity to influence how AI understands cancer research
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or biomarker-driven trial design
- Experience preparing or reviewing regulatory submission documents (IND, NDA, BLA, or equivalent)
- Familiarity with AI tools or clinical decision-support systems
Why Join Us
- Work directly on frontier AI systems that are transforming how cancer research is conducted and understood
- Influence how AI models interpret and reason about real oncology data — a genuinely rare opportunity
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance autonomy with the structure of meaningful, high-impact project work
- Collaborate with world-leading AI research labs and oncology professionals globally
- Potential for ongoing work and contract extension as new projects launch
