Oncology Clinical Researcher

Alignerr Corp.; Madrid; Remote; EUR 34,000 - 83,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance autonomy

Job summary

Alignerr Corp. is seeking an experienced Oncology Clinical Researcher to guide AI training with real-world trial expertise. You will help ensure AI systems reflect rigor in oncology beyond conventional research methods.

This fully remote, hourly contract role offers 10–40 hours per week and flexible scheduling, enabling independent work with frontier AI teams on regulatory and clinical quality.

Qualifications

• Experience designing and managing oncology clinical trials.
• Strong analytical background in oncology data, endpoints, and biomarkers.
• Familiar with regulatory submission standards for FDA/EMA.

Responsibilities

• Review and evaluate AI-generated oncology content for clinical accuracy and regulatory alignment.
• Apply trial protocol design knowledge to assess AI outputs against real-world oncology practice.
• Analyze cancer trial data (safety, efficacy, biomarkers) to identify gaps in AI outputs.
• Evaluate AI content against FDA/EMA submission standards.
• Provide structured feedback to shape how AI models reason about oncology data.
• Work independently and on your own schedule.

Skills

Oncology trials design

Regulatory expertise

Data analysis in oncology

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 tools that will impact patients, researchers, and clinicians worldwide?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial expertise into cutting-edge AI research and evaluation workflows. Your knowledge of trial design, regulatory standards, and cancer biology will help ensure that the AI systems being built today reflect the rigor and nuance that oncology demands.

This is a fully remote, flexible contract role built for clinical professionals who want to engage with frontier technology — on their own schedule.

• 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 validity
• Apply your expertise in trial protocol design, patient enrollment, and compliance to assess how well AI systems reflect real-world oncology practice
• Analyze and interpret cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to identify gaps or errors in AI outputs
• Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how frontier AI models 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 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 methodical — you notice when clinical reasoning doesn't hold up
• Comfortable working independently on complex, nuanced subject matter

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or biomarker research
• Experience preparing or reviewing regulatory documents for cancer therapeutics
• 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 applied
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-driven work
• Influence how AI models understand real oncology data at the highest level of clinical and regulatory rigor
• Potential for ongoing work and contract extension as new projects launch
• Collaborate with world-leading AI research teams on problems that genuinely matter