AI Compliance Specialist at Clairo

Leuven, Flanders, Belgium

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Technology, Regulated IndustriesIndustries

Requirements

Master’s degree in Computer Science, Data Science, Engineering, or a related field; or a Bachelor’s degree with equivalent experience
Strong understanding of AI/ML validation and regulatory compliance in regulated industries
High-level understanding of AI models such as Random Forest, CNN, and LLMs
Familiarity with international standards and regulatory frameworks (e.g., ISO, FDA, EU AI Act)
Excellent communication skills with the ability to convey complex technical concepts clearly
Experience in regulated environments such as healthcare, finance, or life sciences
Demonstrated passion for ethical, responsible, and impactful AI development

Responsibilities

Evaluate AI models for robustness, bias, generalizability, and overfitting, ensuring alignment with ethical and technical standards
Monitor AI system performance, detect model drift, and recommend corrective actions
Assess model interpretability and fairness to support transparency and accountability
Review and report on compliance of AI systems with regulatory frameworks including EU AI Act, ISO/IEC 42001, ISO 9000, ISO 13485, ISO 27001, and FDA 21 CFR Part 11
Prepare and maintain validation and compliance documentation for audits and regulatory reviews
Collaborate with engineering, data science, legal, and quality teams to align AI development with compliance requirements
Lead or support initiatives to enhance AI lifecycle monitoring and governance
Provide training and guidance on AI compliance best practices
Stay informed on emerging regulations, standards, and trends in AI governance
Participate in strategic planning to align compliance efforts with organizational goals

Skills

AI/ML Validation

Model Robustness

Bias Detection

Model Drift

Interpretability

Fairness Assessment

EU AI Act

ISO/IEC 42001

ISO 9000

ISO 13485

ISO 27001

FDA 21 CFR Part 11

AI Governance

Regulatory Compliance

Clairo

Generates clinical evidence for trials

About Clairo

Clario specializes in generating clinical evidence for medical research by utilizing a comprehensive technology platform. Their services support various types of clinical trials, including decentralized, hybrid, and site-based trials. Clario's approach combines nearly 50 years of experience with a vast network of facilities across nine countries, allowing them to conduct a significant number of clinical trials and regulatory approvals. What sets Clario apart from competitors is their extensive expertise and the ability to provide a wide range of endpoint technologies, which enhances the quality of evidence produced. The company's goal is to empower partners in the healthcare industry to improve patient outcomes through reliable and rich clinical data.

London, United KingdomHeadquarters

1972Year Founded

$29.9MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Biotechnology, HealthcareIndustries

5,001-10,000Employees

Benefits

Competitive and equitable total rewards package

Physical, mental and financial health and wellness

Flexible working approach

Risks

Increased competition from AI-driven platforms like Medable may threaten Clario's market share.

The IPO filing may lead to investor pressure for rapid financial returns, affecting strategy.

AI integration from ArtiQ poses data privacy and compliance risks, especially in the EU.

Differentiation

Clario offers a comprehensive endpoint technology platform for diverse clinical trial models.

The company has nearly 50 years of experience in clinical trial technology solutions.

Clario's global presence includes 30 facilities across North America, Europe, and Asia Pacific.

Upsides

Clario's IPO aims for a valuation of over $10 billion, indicating strong market confidence.

The FDA clearance of SpiroSphere® with wireless ECG enhances Clario's clinical trial capabilities.

Clario's acquisition of ArtiQ boosts its AI capabilities in respiratory clinical trials.

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