Senior Clinical Scientist for AI Training (Remote)

Alignerr Corp.; Auckland; Remote; NZD 165,000 - 358,000; Full time

Job summary

Alignerr is seeking a Principal Clinical Scientist (AI Training) to bring senior clinical expertise into cutting-edge AI development. This remote, flexible hourly contract role works with world-leading AI research teams to ensure regulatory-grade clinical data powering AI systems meets required standards.

The role involves designing trial protocols, auditing results for regulatory relevance, and delivering structured feedback to shape AI models that reason about clinical evidence.

Qualifications

• Senior-level clinical professional with hands-on experience designing trial protocols for regulatory submission.
• Deep expertise interpreting clinical data for major regulatory agencies such as the FDA, EMA, or equivalent.
• Strong grounding in clinical research methodology, biostatistics, translational science, or a closely related discipline.
• Rigorous, detail-oriented, and comfortable working independently in a flexible, asynchronous environment.
• Clear and precise communicator — able to document findings and feedback in structured formats.

Responsibilities

• Design and review clinical trial protocols used to generate high-quality, regulator-ready datasets for AI training and evaluation
• Interpret and audit clinical trial results to ensure accuracy, consistency, and alignment with regulatory standards (FDA, EMA, or equivalent)
• Evaluate AI-generated clinical analyses for scientific soundness and regulatory relevance
• Provide structured expert feedback that directly shapes how AI models reason about clinical trial data, outcomes, and evidence
• Help bridge the gap between frontier AI systems and the real-world standards of clinical research

Job description

Alignerr is seeking a Principal Clinical Scientist (AI Training) to bring senior clinical expertise into cutting-edge AI development. This remote, flexible hourly contract role works with world-leading AI research teams to ensure regulatory-grade clinical data powering AI systems meets required standards.

The role involves designing trial protocols, auditing results for regulatory relevance, and delivering structured feedback to shape AI models that reason about clinical evidence.