Oncology Clinical Researcher

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

Work arrangement
No