Oncology Clinical Researcher
Alignerr · Birmingham, England
CONTRACT
Posted Sep 8, 2026
Job Description
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 the systems that will transform how we research, diagnose, and treat cancer?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and validate AI-generated oncology insights, ensuring that the models being built by the world's leading AI labs are grounded in genuine scientific, regulatory, and clinical expertise.
This is a fully remote, flexible contract role. If you've spent years designing trials, interpreting endpoints, and navigating regulatory submissions — this is a rare opportunity to apply that expertise at the frontier of AI.
- 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 expertise in trial design — including protocol development, patient enrollment frameworks, and compliance standards — to assess and improve AI outputs
- Analyze AI-generated interpretations of cancer trial data, including efficacy endpoints, safety profiles, and biomarker results
- Evaluate whether AI-produced regulatory and scientific content meets the standards required for FDA/EMA submissions and clinical decision-making
- Provide structured, expert feedback that directly shapes how frontier 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 — endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you hold clinical outputs to a high standard
- Comfortable evaluating complex scientific content and articulating clear, reasoned feedback
- No prior AI experience required — your clinical expertise is what matters
Nice to Have
- Prior experience with data annotation, data quality, or evaluation workflows
- Background in translational oncology or biomarker research
- Experience contributing to regulatory submissions or clinical publications
- Familiarity with AI tools or content evaluation platforms as an end user
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research
- Influence how AI models understand real oncology data — your expertise leaves a lasting mark
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Collaborate with a global network of specialists across medicine and science
- Potential for ongoing work and contract extension as new projects launch
About The Role
What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about oncology — influencing the systems that will transform how we research, diagnose, and treat cancer?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and validate AI-generated oncology insights, ensuring that the models being built by the world's leading AI labs are grounded in genuine scientific, regulatory, and clinical expertise.
This is a fully remote, flexible contract role. If you've spent years designing trials, interpreting endpoints, and navigating regulatory submissions — this is a rare opportunity to apply that expertise at the frontier of AI.
- 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 expertise in trial design — including protocol development, patient enrollment frameworks, and compliance standards — to assess and improve AI outputs
- Analyze AI-generated interpretations of cancer trial data, including efficacy endpoints, safety profiles, and biomarker results
- Evaluate whether AI-produced regulatory and scientific content meets the standards required for FDA/EMA submissions and clinical decision-making
- Provide structured, expert feedback that directly shapes how frontier 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 — endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you hold clinical outputs to a high standard
- Comfortable evaluating complex scientific content and articulating clear, reasoned feedback
- No prior AI experience required — your clinical expertise is what matters
Nice to Have
- Prior experience with data annotation, data quality, or evaluation workflows
- Background in translational oncology or biomarker research
- Experience contributing to regulatory submissions or clinical publications
- Familiarity with AI tools or content evaluation platforms as an end user
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research
- Influence how AI models understand real oncology data — your expertise leaves a lasting mark
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Collaborate with a global network of specialists across medicine and science
- Potential for ongoing work and contract extension as new projects launch
Additional Details
- City
- Birmingham
- State
- England
- Country
- GB
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