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Senior Forward Deployed Industry Consultant, Pharma - Bayer

in 10115, Berlin, Berlin, Deutschland
Unternehmen: RxREVU, Inc.
Vollzeit position
Verfasst am 2026-09-16
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 90000 - 130000 EUR pro Jahr EUR 90000.00 130000.00 YEAR
Stellenbeschreibung

Senior Forward Deployed Industry Consultant, Pharma (Bayer) - Berlin OR Leverkusen, Hybrid

We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

About the job

The Global Health and Life Sciences Customer Advisory team is seeking a Senior Forward Deployed Industry Consultant - Pharma who is an industry expert dedicated to our strategic account, Bayer. In this role, you will operate as an embedded consultant and forward-deployed engineer, working closely with business, data science, engineering, and IT teams at the customer site in Berlin or Leverkusen .

Your mission is to co-create innovative analytics, AI-driven, agent-based, and data-centric solutions on top of SAS technology, directly within the customer's operational environment.

You will accelerate innovation and time-to-value by applying, composing, and extending SAS capabilities to address high-impact pharmaceutical sponsor challenges. This role is designed for longer-term customer engagement to enable sustained capability development and deep business impact.

As a Senior Forward Deployed Industry Consultant, Pharma, you will:
  • Serve as a forward-deployed, customer-embedded consultant working directly with business and technical teams within a large pharmaceutical organization.
  • Lead time-boxed innovation sprints (typically ~12 weeks), with continuity across multiple sprints, to design and deliver analytics- and AI-enabled capabilities.
  • Translate real-world business challenges into production-ready solutions built on SAS platforms and integrated into customer systems and workflows.
  • Apply deep life sciences and pharmaceutical expertise to identify and solve problems across R&D, clinical development, manufacturing, quality, supply chain, and commercial operations.
  • Co-develop new analytical methods, metrics, and AI-driven approaches that deliver measurable improvements for sponsors and manufacturers.
  • Bridge industry context and technical execution, ensuring solutions are innovative, compliant, and usable in regulated environments.
  • Design and implement analytics pipelines, AI/ML workflows, agent-based approaches, and decisioning solutions using SAS technologies, APIs, and enterprise integrations.
  • Rapidly prototype, iterate, and operationalize solutions with customer users, progressing from proof of value to scalable, production-ready capabilities.
  • Partner closely with Global Account Directors, Account Executives, Industry Consultants, and technical teams to align embedded innovation with overall account strategy and support reuse across SAS.
  • Clearly articulate business value, outcomes, and ROI, while providing structured feedback to SAS teams on customer needs, emerging use cases, and innovation opportunities.
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
  • Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
Required qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, Applied Mathematics, or a related field.
  • Solid experience in life sciences/pharmaceutical consulting, applied analytics, data science engineering, or technical solution delivery roles.
  • Strong hands-on…
Stellen-Anforderungen
10+ Jahre Berufserfahrung
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