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 will support the next generation of cancer research and treatment decisions?
We're looking for an Oncology Clinical Researcher to bring real-world clinical trial knowledge into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, reasoning, and outputs meet the highest scientific, regulatory, and clinical standards.
This is a fully remote, flexible contract role built for experienced oncology professionals. No AI background required — just deep command of cancer clinical research and a sharp eye for scientific rigor.
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, regulatory alignment, and scientific validity
Apply your expertise in trial design — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs
Analyze cancer trial data representations, including safety profiles, efficacy results, and biomarker findings, to verify how well AI captures real-world complexity
Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
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 background in analyzing oncology clinical data, including endpoints, safety profiles, and biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and methodical — you catch what others miss
Comfortable translating complex clinical knowledge into clear, structured evaluations
No prior AI or tech experience required
Nice to Have
Prior experience with data annotation, data quality, or evaluation workflows
Background in oncology subspecialties such as immuno-oncology, precision medicine, or rare cancers
Experience contributing to publications, IND/NDA submissions, or clinical study reports
Familiarity with AI tools or clinical decision support systems as an end user
Why Join Us
Work directly on frontier AI systems transforming how cancer research is understood and applied
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-level work
Influence how AI models reason about real oncology data at a foundational level
Collaborate with world-leading AI research labs and a global network of domain experts
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No