Oncology Clinical Researcher for AI Training (Remote)

Alignerr Corp.; Ireland; Remote; EUR 83.000 - 152.000; Vollzeit

Zusammenfassung

Alignerr is seeking an Oncology Clinical Researcher to shape how AI understands oncology data and trials. This remote, hourly contract role focuses on evaluating AI-trained oncology outputs against regulatory and clinical standards.

You will design and critique trial protocols, analyze biomarker data, and ensure that AI-derived insights meet FDA/EMA expectations while you work autonomously on a flexible schedule.

Qualifikationen

• Experienced in designing and managing oncology clinical trials from protocol development through data readout.
• Strong background in analyzing oncology clinical data, including endpoints, safety profiles, and biomarkers.
• Familiar with regulatory submission standards for FDA/EMA.
• Detail-oriented with a systematic, rigorous approach to scientific evaluation.

Aufgaben

• Design and evaluate oncology clinical trial protocols, covering patient enrollment, regulatory compliance, and ethical standards.
• Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance.
• Translate trial outcomes into regulatory and scientific frameworks aligned with FDA, EMA, and other major agency standards.
• Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment.
• Flag errors, gaps, and misrepresentations in AI outputs related to cancer research and clinical trial methodology.
• Work independently and asynchronously — fully on your own schedule.

Kenntnisse

Oncology trials design

Data analysis in oncology

Regulatory submission knowledge

Scientific communication

Independent remote work

Tools

Data annotation tools

Clinical informatics platforms

AI tooling familiarity

Jobbeschreibung

Alignerr is seeking an Oncology Clinical Researcher to shape how AI understands oncology data and trials. This remote, hourly contract role focuses on evaluating AI-trained oncology outputs against regulatory and clinical standards.

You will design and critique trial protocols, analyze biomarker data, and ensure that AI-derived insights meet FDA/EMA expectations while you work autonomously on a flexible schedule.