Oncology AI Researcher (Remote, Flexible)

Alignerr Corp.

Pittsburgh (Allegheny County)

Remote

USD 83,000 - 152,000

Full time

16 hours ago
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Benefits offered by this job

Fully remote
Flexible hours
Contract extension potential

Job summary

Alignerr Corp. seeks an experienced Oncology Clinical Researcher to inform how AI learns about cancer, applying rigorous trial design to AI training and evaluation.

This fully remote hourly contract offers flexible hours (10–40 per week) and collaboration with leading AI researchers to translate trial data into regulatory-ready outputs.

The role emphasizes independent, detail-oriented work and opportunities for ongoing projects in translational oncology.

Qualifications

  • Experience in designing and managing oncology clinical trials from protocol development to data readout.
  • Strong analytical background in oncology trial data including endpoints, safety, and biomarkers.
  • Familiar with regulatory submission standards (FDA/EMA) and documentation.
  • Detail-oriented and able to work independently in a remote environment.

Responsibilities

  • Design and evaluate oncology trial frameworks for AI training and evaluation workflows.
  • Analyze trial data including safety, efficacy, and biomarkers for AI interpretation.
  • Translate trial findings into outputs aligned with FDA/EMA reporting standards.
  • Review AI-generated oncology insights for clinical accuracy and regulatory alignment.
  • Provide expert feedback to improve AI models' reasoning in cancer research.

Skills

Oncology trial design
Regulatory knowledge (FDA/EMA)
Data analysis (biomarkers, endpoints)
Remote collaboration
Independent work
AI evaluation platforms

Tools

AI evaluation platforms

Job description

Alignerr Corp. seeks an experienced Oncology Clinical Researcher to inform how AI learns about cancer, applying rigorous trial design to AI training and evaluation.

This fully remote hourly contract offers flexible hours (10–40 per week) and collaboration with leading AI researchers to translate trial data into regulatory-ready outputs.

The role emphasizes independent, detail-oriented work and opportunities for ongoing projects in translational oncology.

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