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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Specialist, Software & AI - **Company:** Merck Sharp & Dohme LLC - **Location:** Burlington, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Software as a Service, Data Infrastructure, Interoperability, Software Product Management, Systems Integration, Web Platforms, Data Processing, Information Technology, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/product-specialist-software-and-ai-burlington-ma-usa-58858806 ## About the Role requirements including data models and user experiences * Lead integration of software, data, and automation systems with interoperability across instruments and digital platforms * Drive cross-functional product development from concept to launch with on-time delivery * Evaluate and develop strategic partnerships with external software, data, and AI providers * Support go-to-market strategy and commercial enablement with core product management practices Tasks * 5+ years of experience with scientific software, digital platforms, or data/analytics solutions in life science research * Bachelor's degree in biology, bioengineering, computer science, data science, or related field * Experience bridging assay workflows, data models, and analytics * Familiarity with cloud-based software and data pipelines * Strong ability to translate scientific complexity into user-friendly digital tools * Experience working across biology, software, engineering, and commercial teams; familiarity with agile aa aaaD_ management is a plus Key requirements * health insurance * PTO * retirement contributions * other perquisites * bonus potential ## Description Experteer Overview In this role you will drive the strategy, development, and commercialization of software and AI-enabled solutions for protein science workflows. You collaborate with cross-functional teams to turn assays, data, and automation insights into user-friendly digital tools that accelerate time-to-market. You own the product vision and roadmap, shaping solutions that improve reproducibility and workflow efficiency. This role offers impact across R&D, engineering, and commercial teams in a mission-driven, innovative environment. Compensation / Benefits * Define the technical roadmap for scientific software, data infrastructure, and AI/ML in the Protein Sciences portfolio * Act as technical and innovation lead for scientific software and AI, aligning workflows, data models, and analytics * Identify opportunities where AI and modern data methods unlock new capabilities in assay development and data processing * Translate customer and workflow needs into software and AI product requirements including data models and user experiences * Lead integration of software, data, and automation systems with interoperability across instruments and digital platforms * Drive cross-functional product development from concept to launch with on-time delivery * Evaluate and develop strategic partnerships with external software, data, and AI providers * Support go-to-market strategy and commercial enablement with core product management practices Tasks * 5+ years of experience with scientific software, digital platforms, or data/analytics solutions in life science research * Bachelor's degree in biology, bioengineering, computer science, data science, or related field * Experience bridging assay workflows, data models, and analytics * Familiarity with cloud-based software and data pipelines * 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 is a plus Key requirements * health insurance * PTO * retirement contributions * other perquisites * bonus potential ## 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 on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Keith Cirkle of GitHub on React Fatigue](https://www.wearedevelopers.com/videos/1265-keith-cirkle-of-github-on-react-fatigue) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)