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 patients worldwide? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI training and evaluation workflows.
This is a fully remote, flexible contract role. You don't need an AI background --- just a strong foundation in oncology trial design, data analysis, and regulatory standards.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10--40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial protocols, including study design, patient enrollment criteria, and regulatory compliance standards
- Analyze cancer trial data --- covering safety profiles, efficacy endpoints, and biomarker results --- to assess treatment performance and clinical validity
- Translate trial outcomes into clear regulatory and scientific insights aligned with FDA, EMA, and other agency standards
- Review and critique AI-generated clinical content for scientific accuracy, clinical relevance, and regulatory alignment
- Help ensure that AI systems reasoning about oncology data reflect real-world standards and best practices
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 efficacy endpoints, safety monitoring, and biomarker analysis
- Familiar with regulatory submission standards for major agencies such as the FDA or EMA
- Detail-oriented and rigorous --- you hold AI-generated outputs to the same standard you'd apply to a real trial report
- Self-motivated and comfortable working independently in an asynchronous, remote environment
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Background in oncology subspecialties such as hematology, solid tumors, or immuno-oncology
- Experience contributing to publications, regulatory submissions, or clinical decision-support tools
- Familiarity with AI tools or clinical data platforms as an end user
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
- Influence how AI models understand, evaluate, and reason about real oncology trial data
- 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
