Oncology Clinical Researcher

Alignerr Corp.; United States; Remote; CAD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to shape AI reasoning in oncology by evaluating and refining trial data within AI-driven workflows. This fully remote, hourly contract role targets experienced oncology professionals who want flexible scheduling and meaningful impact.

You will design, evaluate, and validate AI-relevant oncology analyses while ensuring regulatory and scientific standards are met. Join a frontier AI research effort with potential for ongoing engagement.

Qualifications

• Design and manage oncology clinical trials from protocol development through data readout.
• Analyze oncology trial data including primary and secondary endpoints, safety profiles, and biomarkers.
• Familiar with regulatory submission standards for agencies such as the FDA or EMA.

Responsibilities

• Design and evaluate oncology trial frameworks—protocols, enrollment criteria, regulatory considerations.
• Analyze trial data on safety, efficacy, and biomarker results to assess treatment performance.
• Translate trial outcomes into regulatory and scientific narratives aligned with submission standards.
• Review AI-generated oncology insights for clinical accuracy and regulatory alignment.
• Apply domain expertise to improve how AI models understand real-world oncology data.
• Work independently and asynchronously, on your own schedule.

Skills

Oncology trial design

Clinical data analysis

Regulatory submission familiarity

Remote/independent work

Job description

Oncology Clinical Researcher (AI Training)

About The Role

What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that will define the next era of cancer research and care? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into AI-driven research workflows. You'll evaluate, validate, and improve how advanced AI systems understand oncology trial data — ensuring that the science behind cutting-edge AI reflects genuine regulatory, clinical, and scientific standards. This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule.

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

What You'll Do

• Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance considerations
• Analyze cancer trial data covering safety endpoints, efficacy outcomes, and biomarker results to assess treatment performance
• Translate complex trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
• Review and critique AI-generated oncology insights for clinical accuracy, scientific validity, and regulatory alignment
• Apply your domain expertise to improve how AI models understand and reason about real-world 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 background in analyzing clinical oncology data — including primary and secondary endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and rigorous — you hold AI-generated content to the same standards you'd apply in a real clinical setting
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
• Background in oncology publications, clinical decision support, or medical writing
• Experience across multiple cancer types or therapeutic modalities

Why Join Us

• Work directly on frontier AI systems that are transforming how cancer research is understood and conducted
• Influence how AI models reason about real oncology data — at a scale no individual trial could achieve
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, impactful work
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch