Oncology Clinical Researcher

Alignerr Corp.; Denver (CO); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr Corp. is seeking an Oncology Clinical Researcher to shape AI training and evaluation for oncology trials. This remote hourly-contract role focuses on rigorous trial design, data analysis, and regulatory alignment.

You'll design protocols, analyze safety endpoints and biomarkers, translate outcomes for FDA/EMA standards, review AI-generated content for accuracy, and collaborate asynchronously with global teams. 10–40 hours/week, freelance autonomy.

Qualifications

• Design and manage oncology trial protocols with study design, enrollment criteria, and regulatory considerations.
• Analyze trial data focusing on safety, efficacy endpoints, and biomarker results.
• Translate trial outcomes into regulatory and scientific insights aligned with FDA/EMA standards.

Responsibilities

• Design and evaluate oncology clinical trial protocols, including study design, patient enrollment criteria, and regulatory compliance standards
• Analyze cancer trial data — covering safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance and clinical validity
• Translate trial outcomes into clear regulatory and scientific insights aligned with FDA, EMA, and other agency standards
• Review and critique AI-generated clinical content for scientific accuracy, clinical relevance, and regulatory alignment
• Help ensure that AI systems reasoning about oncology data reflect real-world standards and best practices

Skills

Oncology trial design

Data analysis

Regulatory knowledge

Independent work

Tools

AI tools

Clinical data 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 affects patients worldwide? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI training and evaluation workflows.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design and evaluate oncology clinical trial protocols, including study design, patient enrollment criteria, and regulatory compliance standards
• Analyze cancer trial data — covering safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance and clinical validity
• Translate trial outcomes into clear regulatory and scientific insights aligned with FDA, EMA, and other agency standards
• Review and critique AI-generated clinical content for scientific accuracy, clinical relevance, and regulatory alignment
• Help ensure that AI systems reasoning about oncology data reflect real-world standards and best practices

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 efficacy endpoints, safety monitoring, and biomarker analysis
• Familiar with regulatory submission standards for major agencies such as the FDA or EMA
• Detail-oriented and rigorous — you hold AI-generated outputs to the same standard you'd apply to a real trial report
• Self-motivated and comfortable working independently in an asynchronous, remote environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Background in oncology subspecialties such as hematology, solid tumors, or immuno‑oncology
• Experience contributing to publications, regulatory submissions, or clinical decision-support tools
• Familiarity with AI tools or clinical data platforms as an end user

Why Join Us

• Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
• Influence how AI models understand, evaluate, and reason about real oncology trial data
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch