Frontier Ai Safety Evaluator & Alignment Expert

Mercor; Madrid; On-site; EUR 90,000 - 130,000; Full time

Job summary

Johnson & Johnson is seeking a Sr Manager AI Literacy - Clinical & Scientific Expert to lead AI literacy and adoption initiatives across R&D in Madrid. You will bring a strong clinical and scientific perspective to shape content, identify high-value use cases for tools, engage stakeholders, and drive responsible AI adoption across the organization.

You will connect the needs of R&D with AI literacy programs, ensuring they are relevant, practical, and aligned with business priorities, while

Qualifications

• Master's degree preferred; advanced degree in a scientific, clinical, biomedical, or technical field is strongly preferred.
• Minimum of 7 years of experience in clinical, scientific, medical, pharmaceutical, biotechnology, or healthcare‑related roles.
• Experience translating scientific or clinical concepts into educational, strategic, or business‑focused communications.
• Experience working effectively across matrixed and cross‑functional organizations.
• Strong communication and stakeholder engagement skills, including experience presenting to scientific, technical, and business audiences.
• Familiarity with AI and GenAI concepts and their potential application within research, clinical development, or medical affairs environments.
• Understanding of data science, analytics, or computational approaches relevant to healthcare and life sciences.
• Ability to evaluate the applicability and limitations of AI tools in scientific and clinical settings.
• Experience in therapeutic area, clinical development

Responsibilities

• Work across the AI Literacy team to support the design, development, and delivery of AI literacy and adoption initiatives.
• Partner with stakeholders across R&D ensure AI literacy efforts are relevant and aligned with business needs.
• Provide clinical and scientific input into programs, toolkits, communications, use cases, and enablement resources.
• Collaborate with subject matter experts to validate the accuracy, relevance, and applicability of AI literacy materials.
• Support stakeholder engagement activities, presentations, and communications that translate AI concepts into practical applications for R&D audiences.
• Contribute to the development of narratives and examples that help employees understand the opportunities and limitations of AI in R&D.
• Support cross-functional collaboration across the AI Literacy team to ensure consistency, alignment, and reuse of best practices.

Skills

AI literacy

Data science

Stakeholder engagement

Cross-functional collaboration

Clinical communication

Public speaking

Education

Master's degree

Advanced degree

Job description

Sr Manager AI Literacy - Clinical & Scientific Expert

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com ( .
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
**Job Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
People Leader
**All Job Posting Locations:**
Beerse, Antwerp, Belgium, Madrid - Lafinca
**Job Description:**
About the Role
We are seeking a passionate and strategic leader to support AI literacy and adoption initiatives across R&D. This role works across the AI Literacy team, to ensure a cohesive and impactful experience for R&D employees.
The Associate Director will bring a strong clinical and scientific perspective while helping shape content, identify high‑value use cases for tools, engage stakeholders, and drive responsible AI adoption across the organization. This individual will help connect the needs of R&D functions with AI literacy initiatives, ensuring programs are relevant, practical, and aligned with business priorities.
Key Responsibilities

• Work across the AI Literacy team to support the design, development, and delivery of AI literacy and adoption initiatives.
• Partner with stakeholders across R&D ensure AI literacy efforts are relevant and aligned with business needs.
• Provide clinical and scientific input into programs, toolkits, communications, use cases, and enablement resources.
• Collaborate with subject matter experts to validate the accuracy, relevance, and applicability of AI literacy materials.
• Support stakeholder engagement activities, presentations, and communications that translate AI concepts into practical applications for R&D audiences.
• Contribute to the development of narratives and examples that help employees understand the opportunities and limitations of AI in R&D.
• Support cross-functional collaboration across the AI Literacy team to ensure consistency, alignment, and reuse of best practices.

Qualifications

• Master's degree preferred; advanced degree in a scientific, clinical, biomedical, or technical field is strongly preferred.
• Minimum of 7 years of experience in clinical, scientific, medical, pharmaceutical, biotechnology, or healthcare‑related roles.
• Experience translating scientific or clinical concepts into educational, strategic, or business‑focused communications.
• Experience working effectively across matrixed and cross‑functional organizations.
• Strong communication and stakeholder engagement skills, including experience presenting to scientific, technical, and business audiences.
• Familiarity with AI and GenAI concepts and their potential application within research, clinical development, or medical affairs environments.
• Understanding of data science, analytics, or computational approaches relevant to healthcare and life sciences.
• Ability to evaluate the applicability and limitations of AI tools in scientific and clinical settings.
• Experience in therapeutic area, clinical development