Oncology Clinical Researcher
Posted 1 day ago by Alignerr
Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom
Summary: The Oncology Clinical Researcher (AI Training) role involves leveraging expertise in cancer clinical trials to enhance AI systems that influence oncology research, diagnosis, and treatment. The position requires evaluating AI-generated insights for clinical accuracy and regulatory compliance, ensuring that AI models are grounded in scientific expertise. This is a fully remote, flexible contract role, allowing for independent work on a schedule that suits the researcher. Candidates with extensive experience in trial design and regulatory submissions are encouraged to apply.
Key Responsibilities:
- Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment.
- Apply expertise in trial design 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 standards for FDA/EMA submissions.
- Provide structured, expert feedback to shape AI models' understanding of oncology.
- Work independently and asynchronously on a flexible schedule.
Key Skills:
- Experience in designing and managing oncology clinical trials.
- Strong background in analyzing oncology clinical data.
- Familiarity with regulatory submission standards for FDA or EMA.
- Detail-oriented and methodical approach to clinical outputs.
- Comfortable evaluating complex scientific content and providing clear feedback.
- No prior AI experience required.
Salary (Rate): £32.00 hourly
City: Birmingham
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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