Senior Clinical Scientist, AI Training & Regulatory (Remote)

Alignerr Corp.; Greater London; Remote; GBP 83,000 - 131,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract extension

Job summary

Alignerr is recruiting a Principal Clinical Scientist (AI Training) for a fully remote hourly contract. You will lead the design and review of clinical trial protocols to create regulator-ready datasets for AI training and evaluation, ensuring alignment with FDA/EMA expectations.

You will interpret trial results, audit data quality, and provide expert feedback that shapes AI model reasoning on clinical endpoints and outcomes, with autonomy in a flexible remote setting.

Qualifications

• Senior clinical scientist with hands-on experience designing clinical trial protocols for regulatory submission.
• Expert in interpreting clinical data for agencies such as FDA/EMA.
• Strong grounding in biostatistics or translational science.
• Detail-oriented and able to work independently in a remote environment.

Responsibilities

• Design and review clinical trial protocols used to generate regulator-ready datasets for AI training.
• Interpret and audit clinical trial results for accuracy, consistency and regulatory relevance.
• Evaluate AI-generated clinical analyses for scientific soundness and regulatory alignment.
• Provide expert feedback shaping how AI models reason about trial data, endpoints and outcomes.
• Help establish scientific standards frontier AI systems use to understand real-world evidence.

Skills

Clinical trial design

Regulatory submissions

Biostatistics

Data interpretation

Remote work

Tools

Data annotation

Data quality review

AI tools

Clinical informatics

Job description

Alignerr is recruiting a Principal Clinical Scientist (AI Training) for a fully remote hourly contract. You will lead the design and review of clinical trial protocols to create regulator-ready datasets for AI training and evaluation, ensuring alignment with FDA/EMA expectations.

You will interpret trial results, audit data quality, and provide expert feedback that shapes AI model reasoning on clinical endpoints and outcomes, with autonomy in a flexible remote setting.