Oncology Clinical Researcher

Alignerr; Brisbane; Remote; AUD 83,000 - 124,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Contract extension possible

Job summary

Alignerr is seeking an Oncology Clinical Researcher (AI Training) to shape how AI interprets oncology trial data. Remote, hourly contract with 10–40 hours/week, focusing on designing protocols, analyzing results, and ensuring regulatory-aligned insights. Flexible schedule and independent work style are expected.

The role emphasizes deep expertise in oncology clinical trials, meticulous data review, and clear scientific communication, without requiring prior AI experience.

Qualifications

• Experienced in designing and managing oncology clinical trials.
• Strong ability to analyze trial data, including endpoints and biomarker interpretation.
• Familiar with regulatory submission standards (FDA/EMA).
• Able to communicate complex scientific concepts in writing clearly.
• No prior AI background required.

Responsibilities

• Design and evaluate oncology trial protocols, including enrollment criteria and endpoints.
• Analyze cancer trial data for safety, efficacy, and biomarkers.
• Review AI-generated oncology insights for regulatory and scientific accuracy.
• Translate trial outcomes into clear evaluations to guide AI learning on oncology data.
• Identify and flag errors or misrepresentations in AI-driven content.

Skills

Oncology trial design

Data analysis

Regulatory familiarity

Scientific writing

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 understands and reasons about oncology — influencing research that could one day save lives at scale?

We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into the AI systems being built by the world's leading research labs. You'll ensure that AI-generated oncology insights reflect the regulatory, scientific, and clinical standards that matter most — and that the data powering these models is grounded in how cancer research actually works.

This is a fully remote, flexible contract role. No AI background needed — just deep expertise in oncology clinical trials and a sharp eye for scientific accuracy.

• 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 regulatory compliance frameworks
• Analyze cancer trial data — safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and data quality
• Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and alignment with FDA/EMA regulatory standards
• Translate complex trial outcomes into clear, structured evaluations that help AI systems learn to reason correctly about oncology data
• Flag errors, gaps, and misrepresentations in AI-generated content related to cancer research and clinical methodology
• Work independently and asynchronously on task-based assignments — 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 clinical data, including primary and secondary endpoints, safety reporting, and biomarker interpretation
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and rigorous — you notice when clinical reasoning doesn't hold up
• Able to communicate complex scientific concepts clearly in writing
• No prior AI or tech experience required

Nice to Have

• Experience with data annotation, data quality review, or clinical evaluation workflows
• Background in oncology drug development, translational research, or medical affairs
• Familiarity with AI tools or clinical decision support systems as an end user
• Publications or regulatory submission experience in an oncology context

Why Join Us

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