Oncology Clinical Researcher
Alignerr, Raleigh, NC, United States
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 could one day save lives at scale?
We’re looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You’ll review, evaluate, and help refine AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter most in cancer research.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — on their own schedule.
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 validity, and regulatory alignment
Apply your trial design expertise to assess study protocols, endpoint definitions, patient enrollment logic, and compliance frameworks
Analyze AI outputs covering cancer trial data — including safety signals, efficacy results, and biomarker findings — and flag gaps or errors
Evaluate how well AI-generated insights reflect real-world regulatory standards for agencies such as the FDA and EMA
Provide structured, expert feedback that directly improves how AI models understand and reason about oncology data
Work independently and asynchronously on task-based assignments — fully on your own schedule
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 endpoints, safety profiles, and biomarkers
Familiar with regulatory submission standards for the FDA, EMA, or comparable agencies
Detail-oriented and systematic — you notice when clinical or scientific logic doesn’t hold up
Clear and precise written communicator who can articulate complex clinical reasoning
Comfortable working independently without day-to-day oversight
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI content review
Background in translational oncology, biomarker research, or precision medicine
Experience contributing to regulatory submissions, clinical study reports, or scientific publications
Familiarity with AI tools or clinical informatics platforms
Why Join Us
Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
Influence how AI models interpret real oncology data — your expertise shapes what these systems get right
Fully remote and flexible — work when and where it suits you, with no fixed schedule
Freelance autonomy with the structure of meaningful, expert-level work
Collaborate with world-leading AI research teams and labs on problems that matter
Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr
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 could one day save lives at scale?
We’re looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You’ll review, evaluate, and help refine AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter most in cancer research.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — on their own schedule.
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 validity, and regulatory alignment
Apply your trial design expertise to assess study protocols, endpoint definitions, patient enrollment logic, and compliance frameworks
Analyze AI outputs covering cancer trial data — including safety signals, efficacy results, and biomarker findings — and flag gaps or errors
Evaluate how well AI-generated insights reflect real-world regulatory standards for agencies such as the FDA and EMA
Provide structured, expert feedback that directly improves how AI models understand and reason about oncology data
Work independently and asynchronously on task-based assignments — fully on your own schedule
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 endpoints, safety profiles, and biomarkers
Familiar with regulatory submission standards for the FDA, EMA, or comparable agencies
Detail-oriented and systematic — you notice when clinical or scientific logic doesn’t hold up
Clear and precise written communicator who can articulate complex clinical reasoning
Comfortable working independently without day-to-day oversight
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI content review
Background in translational oncology, biomarker research, or precision medicine
Experience contributing to regulatory submissions, clinical study reports, or scientific publications
Familiarity with AI tools or clinical informatics platforms
Why Join Us
Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
Influence how AI models interpret real oncology data — your expertise shapes what these systems get right
Fully remote and flexible — work when and where it suits you, with no fixed schedule
Freelance autonomy with the structure of meaningful, expert-level work
Collaborate with world-leading AI research teams and labs on problems that matter
Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr