Oncology Clinical Researcher

Alignerr Corp.; Chicago (IL); Remote; USD 83,000 - 124,000; Full time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to shape AI training workflows in oncology. You will design and evaluate cancer trial protocols, analyze safety and efficacy data, and ensure regulatory-grade standards are reflected in AI outputs.

This remote, hourly-contract role offers up to 40 hours/week with flexible scheduling. You’ll collaborate with leading AI research teams to advance cancer care and ensure AI models reason correctly about oncology data.

Qualifications

• Experience designing and managing oncology clinical trials from protocol to data readout.
• Strong ability to analyze oncology endpoints, safety data, and biomarker results.
• Familiarity with regulatory submission frameworks (FDA/EMA) and regulatory standards.
• Detail-oriented approach ensuring AI-generated content meets clinical/regulatory quality.
• Ability to work independently on structured, task-based assignments with high accuracy.

Responsibilities

• Design and evaluate oncology trial protocols, including endpoints and enrollment criteria.
• Analyze cancer trial data — safety, efficacy, and biomarkers — to assess treatment performance.
• Translate trial findings into regulatory and scientific outputs aligned with submission standards (FDA/EMA).
• Review AI-generated clinical insights for accuracy, relevance, and regulatory alignment.
• Provide expert feedback to improve how AI models reason about oncology data.
• Work independently and asynchronously on a flexible schedule.

Skills

Oncology trial design

Data analysis

Regulatory standards

Biomarker interpretation

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, reasons about, and advances oncology research? We're looking for Oncology Clinical Researchers to bring real-world clinical knowledge into cutting-edge AI training and evaluation workflows — ensuring the AI systems influencing cancer care are grounded in rigorous, regulatory-grade science.

This is a fully remote, flexible contract role. No AI background required — just a strong command of oncology trial design, data analysis, and regulatory standards.

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

What You'll Do

• Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, endpoint selection, and compliance with regulatory and ethical standards
• Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and clinical relevance
• Translate trial findings into clear regulatory and scientific outputs aligned with FDA, EMA, or equivalent submission standards
• Review and evaluate AI-generated clinical insights for scientific accuracy, clinical appropriateness, and regulatory alignment
• Provide structured, expert feedback that directly improves how 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 background in analyzing oncology endpoints, safety data, and biomarker results
• Familiar with regulatory submission frameworks for agencies such as the FDA or EMA
• Detail-oriented and methodical — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI assessment workflows
• Background in oncology subspecialties such as hematology, immunotherapy, or precision medicine
• Experience authoring or reviewing clinical study reports, IND/NDA submissions, or peer-reviewed publications
• Familiarity with biostatistics or clinical data management

Why Join Us

• Work directly on frontier AI systems transforming how the world understands and fights cancer
• Influence how AI models learn to reason about real oncology data — your expertise shapes the output
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Collaborate with leading AI research teams pushing the boundaries of medical AI
• Potential for ongoing work and contract extension as new projects launch