Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)
About

The Role
What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about oncology — influencing research, treatment evaluation, and regulatory science for years to come? We're partnering with the world's leading AI research labs to build and train frontier AI models in oncology. We're looking for experienced Oncology Clinical Researchers to bring real-world expertise into AI-driven workflows — ensuring that the systems shaping the future of cancer research are grounded in rigorous, accurate, and clinically meaningful science.

This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical quality.

Organization:
Alignerr
Type:
Hourly Contract

Location:

Remote
Commitment: 10–40 hours/week

What You'll Do
Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
Apply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, and endpoint selection
Analyze and validate AI-generated interpretations of cancer trial data — including safety profiles, efficacy outcomes, and biomarker findings
Evaluate whether AI-produced regulatory content meets the standards expected for FDA, EMA, or comparable agency submissions
Provide structured, expert feedback that directly shapes how AI models understand and reason about oncology
Work independently and asynchronously — fully on your own schedule

Who You Are
Experienced in designing and managing oncology clinical trials from protocol development through data readout
Strong command of oncology clinical data analysis — endpoints, safety profiles, biomarkers, and statistical interpretation
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and rigorous — you notice when clinical reasoning doesn't hold up
Able to communicate complex scientific judgments clearly and concisely in writing
No prior AI or tech experience required

Nice to Have

Experience with data annotation, data quality review, or evaluation systems
Background in translational oncology, biomarker research, or precision medicine
Familiarity with AI tools or clinical decision support systems as an end user
Experience contributing to scientific publications or regulatory dossiers

Why Join Us
Work directly on frontier AI systems transforming how the world approaches cancer research
Fully remote and flexible — work when and where it suits you
Freelance autonomy with meaningful, substantive work that draws on your deepest expertise
Influence how AI models understand real oncology data at a foundational level
Collaborate with a global network of leading researchers and AI scientists
Potential for ongoing work and contract extension as new projects launch