Currently tracking 11 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $129k–$228k (avg $176k).
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.
Merck currently has 34 active AI-related roles in our index. The most common open titles are: Senior Business Analyst – Automation, Analytics & AI (2), Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships) (2), AI Developer, AI Engineer, AI Research Engineer. Most positions are in Engineering and Research.
Merck's active AI hiring is concentrated in: agents (38%), application (24%), data (24%). 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 (11 roles), United States (7 roles), Czech Republic (7 roles), Singapore (5 roles).
Job postings at Merck most frequently reference: llm observability, model serving, fine tuning, rag, evals.
In the past 30 days, Merck has posted 48 new AI-related roles. That is a +66% change versus the prior 30 days (29 → 48).
| Title | Stage | AI score |
|---|---|---|
| Director, Data Science, Foundation Model AI Director of foundational AI at Merck, leading a team of ML researchers and engineers to develop and train large multi-modal foundation models and bespoke methods for biological data analysis. The role involves providing technical guidance, interpreting results, and publishing research findings, with a focus on advancing therapeutic strategies. Requires a PhD and significant experience in ML/AI, team leadership, and training large models. | PretrainPost-train | 9 |
| Senior Data Scientist, Imaging Foundation Models Senior Data Scientist role at Merck focused on developing and training imaging foundation models for histopathology, with a focus on immune-relevant tissue and cellular patterns. The role involves building segmentation-driven and cell-centric pipelines, designing interpretable modeling workflows, and applying zero-shot and weakly supervised learning methods. Collaboration with multidisciplinary teams and contribution to platform strategies are key. |
| Post-train |
| 8 |
| Senior Scientist, Agentic AI and Machine Learning (PDMB) Senior Scientist role focused on developing, benchmarking, and deploying agentic AI and Machine Learning solutions within the healthcare domain (Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics). The role involves partnering with scientists, integrating AI/ML into R&D platforms, and contributing to responsible AI practices. Requires hands-on experience with LLMs, agent frameworks, multimodal datasets, and model evaluation. | Agent | 8 |
| Senior Specialist, Data Science Senior AI/ML Scientist role at Merck focused on developing and deploying next-generation computational toxicology capabilities. The role involves leading projects, building production-grade models and agentic systems, and establishing governance and MLOps practices for preclinical research in a regulated environment. Key responsibilities include fine-tuning foundation models, integrating multimodal datasets, and collaborating with cross-functional teams. | AgentPost-train | 8 |
| Associate Director, Business Insights and Analytics- Data Science This role leads a team focused on leveraging data science, predictive analytics, and GenAI/AI models, including agentic frameworks, to drive customer and market comprehension within the healthcare industry. The primary focus is on developing actionable insights and commercial use-cases to inform launch strategies, brand growth, and customer engagement, with a secondary emphasis on the development and optimization of AI/GenAI models and agentic systems. | AgentPost-train | 7 |
| Senior Scientist, Hybrid Modeler, Digital Insights, DSCS Digital Technologies Senior Scientist role focused on developing and deploying mechanistic, CFD-based, and data-driven models for sterile drug substance and drug product manufacturing processes in the pharmaceutical industry. The role involves integrating physics-based models with AI/ML methods to optimize processes, de-risk scale-up, and support clinical-to-commercial transitions. Requires expertise in CFD, programming (Python, MATLAB), and data science, with a focus on applying these to pharmaceutical manufacturing challenges. | ServeData | 7 |
| Senior Data Scientist, Neuroscience Biomarker Discovery Senior Data Scientist role at Merck focused on Neuroscience Biomarker Discovery. The role involves developing and deploying advanced AI/ML methodologies to analyze proteomics and other omics data for identifying biomarkers in neurodegenerative diseases. Collaboration with AI/ML scientists, data scientists, and bench biologists is key. | Data | 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 |
| Artificial Intelligence (AI) Ethics and Governance Senior Specialist Merck is seeking a Senior Specialist in AI Ethics and Governance to join their global team. The role focuses on assessing and mitigating risks in AI projects, implementing explainable AI (XAI), and ensuring responsible AI development within the organization. This position requires a strong understanding of AI/ML, generative AI, and agentic systems, with a focus on ethical considerations and compliance. | Eval GatePost-train | 7 |
| Associate Director – Business Insights & Analytics, US Vaccines & ID (HIV) This role is for an Associate Director of Business Insights & Analytics in the US Vaccines & ID (HIV) division at Merck. The primary focus is to provide strategic thought-partnership and data-driven insights to commercial stakeholders, informing launch strategies and supporting brand growth. The role involves translating business questions into analytical problems, proposing AI/ML/NLP/modeling techniques, and collaborating with data scientists and engineers to deliver solutions, including Agentic AI. The candidate will analyze diverse healthcare data sources and present findings to drive data-driven decisions. | AgentPost-train | 7 |
| Senior Specialist, Data Scientist Seeking a Senior Specialist, Data Scientist for Merck's R&D Quality Assurance Analytics & Tech Systems team. The role involves developing and maintaining innovative data science and analytics solutions, including machine learning and generative AI models, to support the QA space within the R&D Division. Responsibilities include technical support for data science requests, developing analytics solutions using tools like PowerBI and SQL, becoming a subject matter expert in R&D Quality Data, communicating insights, and identifying opportunities for Generative AI implementation. The role also includes mentorship and contributing to the internal data science community. | Post-train | 7 |
| Associate Principal Scientist, Computational Biologist and Image Analysis Expert Merck is seeking a computational biologist with expertise in image analysis to join their Translational Genome Analytics research team. The role involves applying AI/ML-based analytics to large multi-omics imaging and functional genomics datasets for target and biomarker discovery in drug development, with a focus on Oncology. The candidate will collaborate with cross-functional teams and contribute to quantitative analysis of imaging datasets and integration of machine learning with phenotypic screens. | Post-train | 7 |
| Sr. Specialist – Business Insights & Analytics, Advanced Analytics - US Vaccines & ID This role focuses on applying advanced analytics, Machine Learning, NLP, Generative AI, and Agentic AI frameworks to generate actionable insights for commercial decisions in the pharmaceutical/biotech/healthcare industry. It involves leveraging LLMs, RAG, autonomous agents, and multi-agent orchestration to enhance insight generation and automate analytical workflows, with a secondary focus on data engineering for these applications. | AgentData | 7 |