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 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

Work arrangement
Yes