Oncology Clinical Researcher

Alignerr Corp.; Brasil; Remote; BRL 421,000 - 701,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher (AI Training) to review and guide AI-generated oncology content, ensuring it reflects rigorous clinical and regulatory standards. You will evaluate, adjust, and improve AI outputs with your deep expertise in trial design, endpoints, safety monitoring, and biomarker analysis.

This is a fully remote, hourly contract role with 10–40 hours per week, offering flexible scheduling and the chance to shape medical AI at the cutting edge.

Qualifications

• Experience in designing and managing oncology clinical trials.
• Strong background in analyzing oncology clinical data, including endpoints and biomarker analysis.
• Familiar with regulatory submission standards (FDA/EMA).
• Able to clearly communicate clinical reasoning and feedback in writing.

Responsibilities

• Review AI-generated oncology content for clinical accuracy and regulatory alignment.
• Apply trial-design expertise to assess AI outputs.
• Analyze AI interpretations of trial data including endpoints and safety.
• Identify gaps between AI insights and real-world oncology standards.
• Translate clinical knowledge into structured, actionable feedback.
• Work independently and asynchronously.

Skills

Oncology clinical trials

Trial design

Regulatory compliance

Data analysis

Scientific writing

Job description

Oncology Clinical Researcher (AI Training)

About The Role

What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that will define the future of cancer care?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, guide, and improve AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter most in cancer research.

This is a fully remote, flexible contract role. No AI background required — just deep expertise in oncology clinical trials and a sharp eye for scientific accuracy.

• 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, regulatory alignment, and scientific relevance
• Apply your expertise in trial design — protocol development, patient enrollment, safety monitoring, and regulatory compliance — to assess AI outputs
• Analyze AI-generated interpretations of cancer trial data, including efficacy endpoints, safety profiles, and biomarker results
• Identify gaps, errors, or misalignments between AI-generated insights and real-world oncology standards
• Translate your clinical knowledge into structured, actionable feedback that directly improves AI model performance
• Work independently and asynchronously — entirely 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 monitoring, and biomarker analysis
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical, with a consistent approach to evaluating complex scientific content
• Able to clearly communicate clinical reasoning and feedback in writing
• No prior AI or tech experience required

Nice to Have

• Experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology, precision medicine, or biomarker-driven trial design
• Familiarity with regulatory documents such as clinical study reports, INDs, or NDAs
• Prior work across multiple cancer indications or therapeutic modalities

Why Join Us

• Work directly on frontier AI systems transforming how cancer research is understood and applied
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Influence how AI models reason about real oncology data at the cutting edge of medical AI
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch