Merck
Pharma · Pharma
- HQ
- Rahway, US
- Founded
- 1891
- Size
- 70,000+
- Website
- merck.com
Merck currently has 27 active AI-related job listings. The majority of these roles, 41%, are focused on agents. Engineering is the most frequent function for these positions. The company is hiring for these roles in the United States, Czech Republic, and Singapore. Frequent technology tags include fine-tuning, RAG, and agent orchestration. In the last 30 days, Merck has posted 48 new AI roles, representing a 700% increase from the previous 30-day period.
Currently tracking 11 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $129k–$228k (avg $176k).
Merck currently has 39 active AI-related roles in our index. The most common open titles are: Data Strategy Innovation Analyst (2), Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships) (2), AI & SaaS Product Security Engineer, AI Developer, AI Engineer. Most positions are in Engineering and Product.
Merck's active AI hiring is concentrated in: agents (54%), data (15%), post-training (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Merck is hiring AI talent in: India (15 roles), United States (8 roles), Czech Republic (8 roles), Singapore (3 roles).
Job postings at Merck most frequently reference: llm observability, agent orchestration, fine tuning, guardrails, evals.
In the past 30 days, Merck has posted 48 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Data Strategy Innovation Analyst The Data Strategy Innovation Analyst role focuses on designing, developing, and deploying Automation and Agentic AI systems for data governance, enablement, and stewardship within a healthcare biopharma company. This involves building LLM-powered agents capable of multi-step workflows, interacting with enterprise systems, reasoning over policies, and integrating with various data platforms. The role emphasizes production-quality code, software engineering best practices, deployment, monitoring, scaling, and ensuring compliance with data governance, privacy, security, and Responsible AI principles. Experience with agentic AI architectures and operationalizing AI is preferred. | Agent | 8 |
| Data Governance Innovation Analyst This role focuses on designing and implementing Automation and Agentic AI systems for data governance, enablement, and stewardship. The analyst will develop production-quality code for AI agents capable of multi-step workflows, interacting with enterprise data, reasoning over policies, and integrating with various systems. Key responsibilities include engineering guardrails for data governance and Responsible AI principles, monitoring agent behavior, and refactoring prototypes into scalable production services. The role requires strong software engineering experience and familiarity with LLM-powered applications and Agentic AI architectures. | Agent | 8 |
| Associate Director, Field AI Product Lead Lead the end-to-end product strategy, development, and scale of Field Copilot, an evolving suite of agentic Field AI capabilities designed to help field teams sense, decide, act, and learn with confidence. This role will shape how intelligent assistance progresses from single-step copilots to coordinated, multi-step workflows, ensuring capabilities are built as interconnected, interoperable building blocks with shared services for data, identity, evaluation, and safety. | Agent | 8 |
| Associate Scientist, Postdoctoral Fellow - AI in Infectious Disease Modeling This postdoctoral research fellow position focuses on leveraging AI, specifically LLMs and generative AI, to automate the extraction, evaluation, and proposal of health economic infectious disease models. The role involves building a corpus of models, extracting detailed information using LLMs, implementing an AI reasoning layer for validation, and using generative AI to suggest new model structures. The ultimate goal is to enhance model transparency, accelerate deployment, and improve consistency in global health decision-making for infectious disease preparedness and response. | DataAgent | 8 |
| Senior Specialist, Digital Reg Docs Tech Lead Senior Specialist, Digital Reg Docs Tech Lead at Merck, focusing on developing and integrating Generative AI solutions within R&D enterprise applications. The role involves designing, building, and maintaining production GenAI systems and data pipelines, with a strong emphasis on end-to-end model integration, data engineering, and application development in a regulated healthcare environment. Responsibilities include prompt engineering, fine-tuning, implementing retrieval approaches, building data pipelines, integrating models into applications, and establishing ML Ops workflows, while mentoring team members and ensuring compliance. | AgentData | 8 |
| Senior AI Developer Senior AI Developer role focused on designing and delivering enterprise-grade AI solutions, including generative AI and RAG-based systems. The role involves hands-on development, integration of LLMs and vector databases, optimization, and adherence to engineering best practices within a cross-functional team. | Agent | 8 |
| Sr. Manager, MCICC Seeking a Scientist, MCICC to drive innovation in AI-powered drug evaluation and development. This role focuses on building and optimizing advanced AI systems, including large language models (LLMs) and molecular generation and property prediction models. The ideal candidate will combine deep technical expertise with domain knowledge in pharmaceutical R&D, enabling rapid iteration and deployment of cutting-edge solutions. | Post-trainAgent | 8 |
| Associate Director, Data Strategy Innovation Lead This role leads a team responsible for advancing data strategy through innovation in data governance, enablement, and stewardship, focusing on conceptualizing, delivering, and driving adoption of AI and automation solutions. It involves gathering business use cases, managing the team backlog, and directing daily activities to ensure high-quality delivery in a global environment. | Agent | 7 |
| Data Strategy Innovation Analyst This role focuses on designing, developing, and deploying Agentic AI systems for data governance, enablement, and stewardship within a healthcare company. The responsibilities include building AI agents capable of multi-step workflows, interacting with enterprise data, and reasoning over policies. The role also involves integrating these agents with existing systems, ensuring production-quality code, implementing guardrails for responsible AI, and monitoring deployed solutions. | Agent | 7 |
| Senior Specialist, Computational Protein Design Seeking a Senior Specialist in Computational Protein Design to lead AI- and structure-guided protein design efforts using generative models and ML tools, integrating structural and biophysical intuition for functional optimization of biologics. The role involves building AI-powered iterative design cycles and computational workflows. | Data | 7 |
| Senior Data Scientist Senior Data Scientist role at Merck supporting R&D, manufacturing, supply chain, commercial, and animal monitoring through data science and AI delivery. Focuses on selecting analytical techniques, choosing tools and infrastructure, ensuring quality delivery, providing technical mentorship, leading projects, developing reusable code, communicating with stakeholders, and building mathematical, statistical, and machine learning models using R/Python. Requires MSc/PhD in a quantitative field and experience with predictive ML pipelines. | Data | 7 |
| Manager, MCICC Manager role focusing on AI-driven drug evaluation and CADD, integrating AI and physics-informed approaches for small-molecule drug development. Responsibilities include designing, developing, and deploying AI systems, applying CADD methodologies, combining ML models with CADD workflows, and collaborating with cross-functional teams. Requires PhD/Master's in a related field with hands-on AI/CADD experience in drug discovery. | Post-trainServe | 7 |
| Senior Specialist, Image Data Analytics Senior Specialist role at Merck focused on applying advanced data analytics, computer vision, machine learning, and deep learning to biomedical imaging data for drug discovery, safety, and efficacy assessment. The role involves developing novel algorithms, designing analytical workflows, collaborating with domain scientists, and evaluating methods. Requires a PhD and strong Python/ML framework experience, with preferred experience in specific imaging modalities and modern deep learning paradigms. | Post-train | 7 |
| Senior Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships) This role focuses on leading hands-on exploration and prototyping of Generative AI-enabled and agentic content capabilities within a large healthcare biopharma company. The specialist will translate workflow needs into experiments, assess feasibility with partners, and prepare for scaling. Key responsibilities include capturing requirements, exploring GenAI/agentic capabilities, executing prototypes, documenting scaling factors, conducting vendor/platform research, and aligning cross-functionally with stakeholders like CEE, product, engineering, and compliance. | Agent | 7 |
| AI Research Scientist AI Research Scientist role at Merck in Singapore focusing on research, assessments, and technical evaluations of AI models and methods for healthcare applications. The role involves conducting feasibility studies, creating proof of concepts, mentoring colleagues, and staying updated with AI research. Requires a degree in AI/ML/CS or related fields, hands-on Python coding, and familiarity with GenAI, deep learning, NLP, CV, and ML frameworks. Cloud infrastructure experience is a plus. | Post-train | 7 |
| Director, Cheminformatics - Modeling & Informatics Director of Cheminformatics at Merck, leading a team to drive innovation in cheminformatics and data science for drug discovery. The role involves guiding the development and application of cheminformatics capabilities, translating scientific questions into scalable data architectures and workflows, and integrating modern technologies like machine learning and AI. The candidate will manage a multi-site team, develop talent, and collaborate with stakeholders across chemistry, biology, and IT. | Data | 7 |
| AI Research Scientist (R2) AI Research Scientist with 1-2+ years of experience in healthcare IT, focusing on research, assessments, and technical evaluations of AI models and frameworks to solve internal problems and enhance generative AI capabilities. The role involves creating proof-of-concepts, staying updated on AI research, and mentoring colleagues. Requires a strong understanding of AI research landscape, hands-on Python development, and familiarity with GenAI, deep learning, NLP, CV, and ML frameworks, preferably within a cloud environment. | Post-train | 7 |
| AI Developer This role focuses on the design and delivery of enterprise-grade AI solutions, specifically generative AI and RAG-based components. The individual contributor will implement, integrate, and optimize AI systems, working with LLMs, vector databases, and retrieval components. The role emphasizes hands-on development, collaboration with cross-functional teams, and adherence to engineering best practices within an Agile framework. | Agent | 7 |