Senior AI Safety Scientist – Pharma R&D (Hybrid)

Johnson & Johnson Innovative Medicine; Madrid; Hybrid; EUR 55,000 - 88,000; Full time

Job summary

Johnson & Johnson Innovative Medicine in Madrid/Barcelona is recruiting a Senior Scientist, AI Safety, to lead governance of agentic AI in pharmaceutical R&D. The role operates in a hybrid model, with 3 days in-office and collaboration across data science, safety, and compliance teams.

You will define deterministic controls, test safeguards via adversarial methods, and help design safety-native architectures to ensure responsible AI within regulated environments.

Qualifications

• Advanced analytics and BI for data science
• Ability to collaborate with跨-functional teams in life sciences
• Experience with data governance and privacy standards
• Experience in data visualization and reporting tools

Responsibilities

• Define deterministic, explainable controls for agentic AI in pharmaceutical R&D.
• Continuously test safeguards via adversarial assurance.
• Shape safety-native architectures with layered controls.
• Design machine-readable policy interfaces for actions and data access.
• Enable auditable decisions and human-approval paths.
• Empower owners to author and test controls.
• Develop red-teaming methods for agentic AI.
• Integrate evaluation into GenAI Platform for testing.
• Prototype safety-native architectures with constrained behavior.
• Research data interventions and safety tuning for regulated use.
• Define accountability measures with audit-ready evidence.
• Collaborate with R&D, platform, security, privacy, legal, quality.

Skills

Advanced Analytics

BI

Coaching

Collaboration

Critical Thinking

Data Analysis

Database Management

Data Privacy Standards

Data Reporting

Data Savvy

Data Science

Data Visualization

Econometric Models

Process Improvements

Technical Credibility

Technologically Savvy

Workflow Analysis

Education

Tools

Job description

Johnson & Johnson Innovative Medicine in Madrid/Barcelona is recruiting a Senior Scientist, AI Safety, to lead governance of agentic AI in pharmaceutical R&D. The role operates in a hybrid model, with 3 days in-office and collaboration across data science, safety, and compliance teams.

You will define deterministic controls, test safeguards via adversarial methods, and help design safety-native architectures to ensure responsible AI within regulated environments.