Bayer is a global enterprise with core competencies in the life science fields of health care and nutrition. Headquartered in Germany, the company operates across three main divisions: Pharmaceuticals, Consumer Health, and Crop Science. With a history spanning over 150 years and a workforce of approximately 100,000 employees worldwide, Bayer is a leader in developing innovative products and solutions to address some of the world's most pressing challenges in health and food security. In Spain, Bayer maintains a significant presence with its national headquarters in Sant Joan Desp (Barcelona) and several production sites and research centers across the country. The company is a major employer for international professionals, particularly in digital health, data science, and global shared services. Bayer Spain is known for its diverse and inclusive work environment, offering numerous opportunities for English-speaking talent in specialized technical and corporate functions.

Founded in 1863 in Barmen, Germany, Bayer began as a dyestuff factory before evolving into a global life sciences leader. It is famous for inventing Aspirin and has expanded through major acquisitions like Monsanto.

Statistical Analyst - AI & Automation Enablement

Bayer

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Statistical Analyst - AI & Automation Enablement

Purpose
Support the transformation of Statistical Programming & Analysis (SPA) into a strategic analytics partner by enabling initiatives that enhance analytical insight, automation, and operational efficiency.

Act as the bridge between SPA product teams and scalable digital and AI execution, translating analytical, regulatory, and operational needs into industrialized AI-, automation-, and tool-based solutions in close collaboration with internal and external stakeholders.

This role enables SPA to move from pilots to platforms, turning prototypes and MVPs into standardized, reusable, and compliant capabilities that scale across studies, programs, and products.

Key Responsibilities

Embed with SPA product teams to understand analytical workflows, regulatory constraints, and decision-critical use cases
Translate SPA needs into clear technical requirements for AI, automation, and digital solutions
Act as the primary interface between SPA and engineering teams across Data Science & AI and IT
Industrialize AI models and automation workflows into scalable, reusable capabilities
Drive a "build once, scale many times" approach to analytics, automation, and tools
Redesign SPA workflows from an AI-first and platform-oriented perspective
Ensure solutions meet regulatory expectations for compliance, auditability, and data integrity
Enable the transition from pilots to governed, repeatable capabilities while reducing complexity

Qualifications

Degree in Statistics, Data Science, Computer Science, Engineering, or a related field
Proven experience at the intersection of analytics, AI/ML, automation, or digital platforms
Ability to collaborate credibly with statisticians, programmers, and clinical stakeholders without owning study delivery
Experience translating complex, domain-specific problems into scalable technical solutions
Comfort working at the intersection of regulated science and modern engineering practices
Strong stakeholder management and influencing skills across technical and non-technical audiences
Proactive, solution-oriented mindset with the ability to move from concept to industrialized output


Application Period:	27/05/2026 - 11/06/2026	Reference Code:	869518
Division:	Enabling Functions	Location:	Spain : Cataluña : Barcelona
Functional Area:	Information Technology	Position Grade:	VS 1.1
Employment Type:	Regular	Work Time:	Full Time