> Markdown version of [/jobs/ext/2026737-product-specialist-software-ai](https://www.wearedevelopers.com/jobs/ext/2026737-product-specialist-software-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Specialist, Software & AI - **Company:** Merck KGaA - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Salary:** $116,600.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Software as a Service, Data Infrastructure, Machine Learning, Metadata Standards, Software Product Management, SAP Plant Maintenance, Signal Processing, Software Engineering, Systems Integration, Web Platforms, Workflow Management Systems, Information Technology, Data Analytics, Performance Monitor, Data Pipelines - **Published:** August 11, 2026 - **Apply:** https://www.dice.com/job-detail/bdc61bb5-c707-412e-9793-e14eeaa6ce5b ## About the Role * Bachelor's degree in biology, bioengineering, computer science, data science, or related field. * 5+ years of experience with scientific software, digital platforms, or data/analytics solutions in life science research., * M.Sc., Ph.D., or MBA. * Experience with AI/ML applications in assay development, signal analysis, data interpretation, or workflow optimization. * Familiarity with cloud-based software, data pipelines, and workflow orchestration tools. * Strong ability to translate scientific complexity into user-friendly digital tools. * Experience working across biology, software, engineering, and commercial teams; familiarity with agile product management methodologies and cross-functional roadmap execution is a plus. ## Description As the Product Specialist for Software & AI, you will drive pioneering innovation in the strategy, development, and commercialization of cutting-edge software and AI-enabled solutions that revolutionize protein science workflows. Functioning as a technical product owner, this role requires deep expertise in scientific software and digital technologies, with a strong emphasis on transforming assay knowledge, customer insights, and automation data into smart, forward-thinking, and intuitive product innovations that accelerate time-to-market. You will collaborate closely with automation, R&D, software engineering, and data science teams to co-create advanced digital capabilities - owning the product vision and roadmap delivery - that set new standards for ease of use, reproducibility, and workflow efficiency across our Protein Sciences portfolio. Key Responsibilities Define and drive the technical roadmap for scientific software, data infrastructure, and AI/ML capabilities across the Protein Sciences portfolio, delivering differentiated data-driven and algorithm-enabled solutions. Serve as the technical and innovation lead for scientific software and AI, bridging assay workflows, data models, and advanced analytics to enable next-generation protein analysis. Identify and drive opportunities where AI and modern data methods unlock new capabilities, advancing assay development, signal processing, data harmonization, and performance monitoring beyond traditional approaches. Translate customer, market, and workflow needs into software and AI product requirements, including data models, feature definitions, and user experiences aligned to real-world scientific applications. Lead the integration of software, data, and automation systems, defining data capture, metadata standards, control interfaces, and interoperability across instruments and digital platforms. Drive cross-functional product development and innovation, partnering with Software Engineering, UX, R&D, Automation, and PM Operations - managing the full product development lifecycle from concept through launch to ensure on-time, on-strategy delivery. Evaluate and develop strategic partnerships with external software, data, and AI providers to accelerate platform capabilities and innovation. Support go-to-market strategy and commercial enablement, applying core product management principles including product positioning, voice-of-customer synthesis, messaging, and launch execution for software and AI solutions. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)