Oncology Clinical Researcher

Alignerr Corp.; Sheffield (TX); Remote; USD 83,000 - 138,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Job summary

Alignerr is seeking an Oncology Clinical Researcher to shape how AI understands oncology trial data. This remote, hourly contract role leverages your real-world trial expertise to inform AI-driven workflows used by researchers, clinicians, and drug developers.

You will design and evaluate trial frameworks, review safety and biomarker data, and translate findings into regulatory-aligned insights for FDA/EMA standards.

Qualifications

• Experience designing and managing oncology trials.
• Strong data analysis of endpoints, safety and biomarkers.
• Familiar with FDA/EMA submission standards.
• Detail-oriented with ability to evaluate complex clinical information.
• Comfortable working remotely and asynchronously.

Responsibilities

• Design and evaluate oncology trial frameworks and protocols for AI outputs.
• Analyze trial data across safety, efficacy, and biomarkers.
• Translate trial results into regulatory-aligned, structured evaluations.
• Review AI-generated insights and flag errors in reasoning or data.
• Provide expert feedback to shape AI models' oncology understanding.

Skills

Oncology trial design

Data analysis

Regulatory knowledge FDA/EMA

Remote/async work

Attention to detail

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 the next generation of tools used by researchers, clinicians, and drug developers worldwide?

We're looking for Oncology Clinical Researchers to bring real-world trial expertise into AI-driven workflows. You'll review, evaluate, and inform the AI systems being built to support cancer research — ensuring they reflect the rigor, regulatory standards, and clinical nuance that this field demands.

This is a fully remote, flexible contract role designed 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 logic, and regulatory compliance standards — to ensure AI-generated outputs meet real-world clinical expectations
• Analyze cancer trial data across safety, efficacy, and biomarker dimensions to assess the accuracy and clinical relevance of AI outputs
• Translate trial outcomes and findings into clear, structured evaluations aligned with FDA, EMA, and international regulatory standards
• Review AI-generated clinical insights and flag errors in scientific reasoning, data interpretation, or regulatory alignment
• Provide expert feedback that directly shapes how frontier AI models understand oncology research

Who You Are

• Experienced in designing and managing oncology clinical trials — from protocol development through data readout
• Strong command of oncology data analysis, including clinical endpoints, safety profiles, and biomarker interpretation
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and capable of evaluating complex clinical information with precision
• Comfortable working independently and asynchronously in a remote environment

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or drug development
• Experience contributing to publications, regulatory submissions, or clinical decision-support tools

Why Join Us

• Work directly on frontier AI systems that are transforming how the world approaches cancer research
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the depth of meaningful, expert-level work
• Collaborate with world-leading AI research teams and labs on problems that matter
• Influence how AI models reason about real oncology data — your expertise sets the standard
• Potential for ongoing work and contract extension as new projects launch