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