Oncology Clinical Researcher

Alignerr Corp.; Portugal; Remote; EUR 14,000 - 55,000; Part time

Job summary

Alignerr Corp. invites an experienced Oncology Clinical Researcher to help shape AI-driven oncology insights. You will review AI-generated oncology content to ensure clinical accuracy, regulatory alignment, and scientific validity across trials.

In this remote hourly contract, you design and evaluate trial design elements, endpoints, safety profiles and biomarkers, and provide structured feedback to improve AI models and outputs.

Qualifications

• Extensive oncology trial design experience from protocol to data readout.
• Strong analytical skills for oncology data including endpoints and biomarkers.
• Familiarity with FDA/EMA submission standards.
• Excellent written communicator for feedback documentation.

Responsibilities

• Review AI-generated oncology content for clinical accuracy.
• Assess AI outputs related to study protocols and enrollment frameworks.
• Analyze AI interpretations of trial data and flag gaps.
• Evaluate regulatory content against FDA/EMA standards.
• Provide structured feedback to shape AI models' oncology knowledge.
• Work independently and asynchronously.

Skills

Oncology clinical trials

Regulatory knowledge (FDA/EMA)

Data analysis

Scientific writing

Independent work

AI evaluation platforms

Tools

AI evaluation platforms

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 research that may one day save millions of lives?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and inform AI-generated oncology content, ensuring the systems being built today reflect genuine regulatory, scientific, and clinical standards.

This is a fully remote, flexible contract role built for seasoned oncology professionals who want to make an impact beyond the clinic.

• 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 validity, and regulatory alignment
• Apply your expertise in trial design to assess AI outputs related to study protocols, patient enrollment frameworks, and compliance standards
• Analyze AI-generated interpretations of cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — and flag errors or gaps
• Evaluate the quality of AI-produced regulatory and scientific content against real-world FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how frontier AI models understand and communicate oncology knowledge
• Work independently and asynchronously 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 and systematic — you notice when something doesn't meet the clinical or scientific bar
• Clear and concise written communicator who can document feedback effectively
• Comfortable working independently without hand-holding

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or biomarker-driven trial design
• Experience contributing to peer-reviewed publications or regulatory dossiers
• Familiarity with AI tools or content evaluation platforms

Why Join Us

• Work directly on frontier AI systems that are transforming how cancer research is understood and advanced
• 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 — your clinical judgment shapes the science
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch