Oncology Clinical Researcher

Alignerr; Rio de Janeiro; Remote; BRL 452,000 - 904,000; Part time

Job summary

Alignerr Corp. seeks an Oncology Clinical Researcher to train AI systems by reviewing oncology content for clinical accuracy, regulatory compliance, and relevance.

This fully remote hourly contract invites experts to contribute 10–40 hours per week, applying deep oncology expertise to guide AI models in trial design, data interpretation, and regulatory alignment, with flexible scheduling and independent work.

Qualifications

• Experienced in designing and managing oncology clinical trials from protocol development to data readout.
• Strong background in analyzing oncology clinical data, including endpoints, safety reporting, and biomarker evaluation.
• Familiar with regulatory submission standards (FDA/EMA/ICH).
• Detail-oriented and methodical with strong written communication.

Responsibilities

• Review and evaluate AI-generated oncology content for clinical accuracy and regulatory alignment.
• Apply clinical trial design expertise to assess and improve AI outputs on endpoints and enrollment strategies.
• Analyze AI interpretations of trial data, including safety, efficacy, and biomarkers.
• Evaluate regulatory and scientific content against FDA/EMA/ICH standards.
• Provide structured, expert feedback to shape AI model reasoning, working independently on a flexible schedule.

Skills

Oncology trial design

Regulatory knowledge

Data analysis

Medical writing

Independent work

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, clinicians, and drug developers worldwide?

We're looking for experienced Oncology Clinical Researchers to bring real-world rigor to cutting-edge AI development. You'll evaluate, guide, and validate AI-generated oncology content — ensuring it reflects the standards you've spent your career mastering: regulatory compliance, scientific accuracy, and clinical relevance.

This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for quality.

• 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 clinical trial design — including protocol development, patient enrollment strategies, and endpoint selection — to assess and improve AI outputs
• Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy results, and biomarker findings
• Evaluate AI-produced regulatory and scientific content against FDA, EMA, and ICH standards
• Provide structured, expert feedback that directly shapes how AI models understand and reason about 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 background in analyzing oncology clinical data, including primary and secondary endpoints, safety reporting, and biomarker evaluation
• Solid familiarity with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical — you catch what others miss and can articulate why it matters
• Comfortable working independently and delivering high-quality written feedback
• No prior AI or tech experience required

Nice to Have

• Experience with data annotation, data quality evaluation, or AI-assisted research tools
• Background in oncology drug development, translational research, or medical writing
• Familiarity with clinical trial management systems or regulatory dossier preparation
• Experience spanning multiple cancer types or trial phases (Phase I–III)

Why Join Us

• Work directly on frontier AI systems transforming how the world approaches cancer research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Influence how AI models reason about real oncology data — a genuinely novel contribution to your field
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch