Oncology Clinical Researcher
Company: Alignerr Agency
- Location: Cambridge, United Kingdom
- Work mode: Remote
- Employment type: Contract
- Posted: 6 days ago
- Offer language: English
Job description
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 next generation of tools used by researchers and clinicians worldwide?
We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll evaluate, validate, and improve AI-generated oncology content — ensuring that the systems being built today reflect the clinical, regulatory, and scientific standards that matter most in cancer care.
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 soundness, and regulatory alignment
- Apply your expertise in trial design — protocols, patient enrollment, endpoints, and safety monitoring — to assess the quality of AI outputs
- Analyze AI-generated interpretations of cancer trial data, including efficacy results, safety profiles, and biomarker findings
- Assess whether AI-generated regulatory and scientific language meets the standards expected for FDA/EMA submissions and clinical publications
- Identify gaps, errors, and areas where AI reasoning about oncology falls short of real-world clinical standards
- Provide structured, detailed feedback that directly informs how frontier AI models are trained and refined
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 primary and secondary endpoints, safety profiles, and biomarker results
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you notice when clinical reasoning doesn't hold up
- Able to communicate complex oncology concepts clearly and precisely in writing
- Comfortable working independently and asynchronously
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in oncology drug development, translational research, or medical writing
- Familiarity with AI tools or content evaluation platforms
- Experience contributing to clinical publications or regulatory dossiers
Why Join Us
- Work directly on frontier AI systems that are transforming how cancer research is conducted
- Influence how AI models understand and reason about real oncology data — at the ground level
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
