Oncology Clinical Researcher

Alignerr; Portugal; Remote; EUR 69,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking an experienced Oncology Clinical Researcher to shape how AI reasons about cancer trials. This remote, hourly contract role focuses on evaluating AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific validity.

You will review trial designs, endpoints, safety profiles, and biomarkers, providing structured feedback to keep AI outputs clinically sound. Flexible schedule and independent, asynchronous work are offered.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Oncology trials design

Regulatory submissions

Data analysis of oncology data

Clear written communication

Independent work

Data annotation / AI evaluation

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