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 the tools that may one day transform how cancer is detected, treated, and survived?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology data used to train and evaluate advanced 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 do meaningful work 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 — including patient enrollment criteria, endpoints, and regulatory compliance frameworks
Analyze cancer trial data spanning safety profiles, efficacy outcomes, and biomarker results to assess treatment performance
Translate trial findings into structured regulatory and scientific outputs aligned with FDA/EMA submission standards
Review and critique AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
Identify gaps, errors, and limitations in how AI models interpret and represent oncology research
Provide expert-level feedback that directly shapes how frontier AI systems reason about cancer data
Who You Are
Experienced in designing and managing oncology clinical trials from protocol development through data readout
Strong background in analyzing oncology clinical data — including primary and secondary endpoints, safety signals, and biomarker analysis
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and methodical — you hold AI-generated content to the same standards you'd apply to a regulatory document
Comfortable working independently and asynchronously in a remote environment
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation workflows
Background in translational oncology or early-phase clinical research
Experience authoring or reviewing clinical study reports, INDs, or NDAs
Familiarity with oncology-specific endpoints such as OS, PFS, ORR, or tumor mutational burden
Why Join Us
Work directly on frontier AI systems with the potential to transform cancer research and clinical care
Fully remote and flexible — set your own hours and work from anywhere
Freelance autonomy with the structure of impactful, expertise-driven work
Influence how AI models understand real oncology science — your knowledge shapes the output
Collaborate with world-class AI researchers and clinicians from across the globe
Potential for contract extension as new oncology AI projects launch

Work arrangement
Yes