Oncology Clinical Researcher

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 tools that researchers, clinicians, and scientists rely on for years to come?

We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll help ensure that the AI systems being built to support cancer research are grounded in genuine clinical, regulatory, and scientific standards — not approximations.

This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work 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, covering study design, patient enrollment frameworks, and regulatory and ethical compliance standards
• Analyze cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance and data quality
• Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards, publications, and clinical decision-making contexts
• Review and evaluate AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
• Help set the standard for how frontier AI systems reason about real-world oncology data

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, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical — you hold AI outputs to the same standards you'd apply in a clinical or regulatory setting
• Comfortable working independently and asynchronously on task-based assignments

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in translational oncology, clinical pharmacology, or medical writing
• Experience preparing or reviewing regulatory submissions (INDs, NDAs, CTDs)
• Familiarity with AI tools or clinical data platforms as an end user

Why Join Us

• Work directly on frontier AI systems transforming how cancer research is conducted and understood
• Influence how AI models reason about real oncology trial data — at a level of depth that actually matters
• 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