Machine Learning jobs in Germany

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Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your role: We are seeking an innovative and inspiring Team Head of Real-World Data (RWD) Methodologies and Solutions to lead a team of experts driving excellence in RWD strategy, partnerships, methodologies, advanced analytics, real-world insights (RWI) and real-world evidence (RWE). Reporting to the Global Head of Patient Focused Real World Evidence (PRWE) as a member of the leadership team, this individual will play a key role in shaping the strategic use of RWD across therapeutic areas to enhance decision-making and enable value-creating integrated evidence plans. This position offers a unique opportunity to influence the future of evidence generation and contribute to the development of innovative therapies that transform patient outcomes globally.

Key Responsibilities:

• Strategic Vision and Implementation: Develop and execute a forward-thinking strategy to leverage RWD for faster, more precise insights and evidence generation, aligning with organizational objectives.
• RWD Partnerships: Identify, negotiate, and manage external partnerships to support RWD acquisition, integration, and operationalization, ensuring scalability and regulatory alignment.
• Methodological Leadership: Establish and implement best practices for generating actionable RWI (Insights) and RWE (Evidence) using state-of-the-art methodologies and analytics including machine learning and AI.
• Solution Development: Drive the creation of innovative tools and platforms that streamline evidence generation while adhering to compliance and quality standards.
• Training and Capacity Building: Lead cross-functional training programs to enhance organizational capabilities in leveraging RWD, fostering innovation and adaptability.
• Cross-Functional Collaboration: Partner with PRWE, CMS, R&D and broader Healthcare teams to ensure integrated and high-quality RWD support across programs.
• Team Leadership: Recruit, develop, and manage a high-performing team of experts, fostering a culture of excellence, collaboration, and continuous learning.
• External Engagement: Represent the organization at industry conferences, regulatory workshops, and external collaborations to advance RWD methodologies and applications.

Who you are

• PhD in Epidemiology, Biostatistics, Data Science, or related fields.
• 12+ years of experience in RWD partnerships, methodologies, RWE generation, and advanced analytics and systems in pharmaceutical or healthcare settings.
• Proven leadership in managing teams and fostering cross-functional collaboration.
• Expertise in statistical programming (e.g., R, SAS, Python) and working with diverse RWD sources, including EHRs, claims data, and patient-reported outcomes.
• Strong understanding of regulatory, payer and HTA bodies requirements and industry standards for RWD and RWE.
• Excellent strategic, problem-solving, and communication skills with the ability to influence diverse stakeholders.
• Demonstrates a commitment to excellence through collaboration, adaptability, and attention to detail while meeting time-sensitive demands.

Additional Focus Areas:

• Enhance RWD applications for hybrid and innovative studies.
• Develop methodologies and frameworks for RWE synthesis to support regulatory and payer requirements.
• Lead efforts to improve data interoperability and integration across diverse RWD sources.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!