Oncology Clinical Researcher

Alignerr; France; À distance; EUR 83 000 - 152 000; Temps partiel

Résumé du poste

Alignerr is seeking an Oncology Clinical Researcher for AI training projects. This fully remote, hourly-contract role is designed for clinicians and researchers who want to contribute on their own schedule.

The position involves designing and evaluating oncology trial protocols, analyzing trial data, and ensuring regulatory-grade reporting for AI development. You will work with AI research teams to align oncology data, endpoints, and insights with FDA/EMA standards, maintaining scientific rigor

Qualifications

• Design and manage oncology trial protocols from design to data readout.
• Analyze oncology data: endpoints, biomarkers, safety.
• Familiar with regulatory submission standards (FDA/EMA).

Responsabilités

• Design and evaluate oncology trial protocols for AI training initiatives.
• Analyze cancer trial data across safety, efficacy, and biomarker endpoints.
• Translate trial outcomes into regulatory-grade narratives for submissions.
• Review AI-generated oncology content for scientific accuracy and regulatory alignment.
• Help shape how AI systems understand oncology concepts.
• Work independently and asynchronously, on your own schedule.

Connaissances

Oncology trials design

Data analysis oncology

Regulatory submissions

AI evaluation familiarity

Description du poste

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 experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure the oncology data, insights, and reasoning powering next-generation AI models meet the highest scientific, regulatory, and clinical standards.

This is a fully remote, flexible contract role — built for working clinicians, researchers, and oncology experts 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

• Design and evaluate oncology clinical trial protocols — including study design, patient enrollment frameworks, and regulatory and ethical compliance standards
• Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevance
• Translate trial outcomes into regulatory-grade scientific narratives aligned with FDA, EMA, and other agency submission standards
• Review and evaluate AI-generated oncology content and clinical insights for scientific accuracy, regulatory alignment, and real-world clinical applicability
• Help shape how frontier AI systems understand, reason about, and communicate complex oncology concepts
• 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, biomarkers, and statistical outcomes
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and rigorous — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in oncology drug development, translational research, or clinical operations
• Experience authoring or reviewing clinical study reports, regulatory briefing documents, or scientific publications
• Familiarity with AI tools or content evaluation platforms

Why Join Us

• Work directly on frontier AI systems transforming cancer research and oncology medicine
• Fully remote and flexible — contribute on your own schedule, from anywhere
• Freelance autonomy with the structure of meaningful, high-impact work
• Collaborate with world‑class AI research labs on problems that matter
• Influence how AI models understand and reason about real oncology data at a foundational level
• Potential for ongoing work and contract extension as new projects launch