Oncology Clinical Researcher

Alignerr Corp.; España; Remoto; EUR 83.000 - 179.000; Part-time

Descrizione del lavoro

Alignerr is seeking an Oncology Clinical Researcher to ensure AI models trained on oncology data reflect real-world clinical, regulatory, and scientific standards. This fully remote, flexible contract role lets you contribute expert judgment to AI-driven research workflows on your own schedule.

You will design and evaluate trial protocols, analyze oncology data including safety and biomarker results, and translate findings into regulatory submissions consistent with FDA/EMA standards.

Competenze

• Experience designing and managing oncology trials from protocol through data readout.
• Strong analytical skills with oncology data, including endpoints, safety, and biomarkers.
• Familiarity with FDA/EMA regulatory submission standards.

Mansioni

• Design and evaluate oncology trial protocols, ensuring alignment with regulatory and ethical standards
• Analyze cancer trial data — including safety outcomes, efficacy endpoints, and biomarker results — to assess treatment performance
• Translate trial findings into regulatory and scientific reports consistent with FDA/EMA submission standards
• Review and evaluate AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
• Help shape how frontier AI models understand and reason about real-world oncology data
• Work independently and asynchronously — fully on your own schedule

Conoscenze

Oncology trial design

Oncology data analysis

FDA/EMA regulatory knowledge

Independent work

Biomarker data interpretation

Strumenti

AI evaluation systems

Clinical data platforms

Descrizione del lavoro

Oncology Clinical Researcher (AI Training)

What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — at a global scale? We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll work with leading AI labs to ensure the models being trained on oncology data reflect genuine clinical, regulatory, and scientific standards — the kind of nuance only a seasoned expert can provide. This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms.

About The Role

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design and evaluate oncology clinical trial protocols, ensuring alignment with regulatory and ethical standards
• Analyze cancer trial data — including safety outcomes, efficacy endpoints, and biomarker results — to assess treatment performance
• Translate trial findings into regulatory and scientific reports consistent with FDA/EMA submission standards
• Review and evaluate AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
• Help shape how frontier AI models understand and reason about real-world oncology data
• 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 analytical background in oncology clinical data, including endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented with a systematic, rigorous approach to evaluating scientific content
• Comfortable working independently and delivering structured, high-quality outputs

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation systems
• Background in translational oncology or biomarker-driven trial design
• Familiarity with AI tools or clinical data platforms
• Experience writing or reviewing publications for peer-reviewed oncology journals

Why Join Us

• Work directly on frontier AI systems being developed alongside the world's leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the substance of impactful, expert-level work
• Influence how AI models interpret and apply real oncology evidence
• Contribute to technology that could meaningfully advance how cancer research is conducted and understood
• Potential for ongoing work and contract extension as new projects launch