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.

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.

Senior AI Research Scientist at Merck in Prague, focusing on research, assessments, and technical evaluations of AI models and frameworks to solve problems and enhance generative AI capabilities. The role involves conducting feasibility studies, creating proof of concepts, and leading smaller projects, with an emphasis on applying AI to internal problems and datasets within the biopharmaceutical domain.

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.

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.

Senior Manager, GenAI & Agentic AI Tech Lead at Merck, responsible for driving the delivery and integration of GenAI and automation capabilities within Global Support Functions. This hands-on role involves technical solution design, architecture, writing production code, building and deploying services, and ensuring operational stability for end-to-end GenAI and agentic AI solutions. The role requires collaboration with various teams, continuous refinement of RAG architectures, design of agentic workflows, and implementation of testing and observability.

This role focuses on designing, delivering, and optimizing Quality Management capabilities on the Veeva Vault QMS platform, with a significant emphasis on integrating AI and Agentic AI use cases within a regulated healthcare environment. Responsibilities include leading QMS transformation programs, delivering AI/Agentic AI solutions for classification, root cause analysis, risk prediction, and document review, managing DevOps pipelines, performing hands-on configuration and validation, and stakeholder management. The role requires experience with Veeva QMS, product management, and implementing AI/Agentic AI solutions in a GxP compliant manner.

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.

Senior Specialist, DevOps Engineer responsible for building and maintaining MLOps workflows, CI/CD pipelines, and cloud infrastructure (AWS, Kubernetes) for generative AI applications, including LLM-based authoring tools, machine translation, RAG pipelines, and embedding services. The role focuses on operational excellence, reliability, security, and compliance in a regulated healthcare environment.

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.

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.

This role focuses on assessing AI systems for risks and impacts, recommending mitigations and guardrails, and testing/evaluating AI models, agents, and systems for performance, safety, security, and explainability. It involves developing and implementing policy processes and staying updated on AI developments and regulations within the healthcare domain.

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.

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.

This role focuses on assessing AI systems for risks, recommending mitigations and guardrails, and testing AI models, agents, and systems for performance, safety, security, and explainability. It involves supporting the development and implementation of AI ethics policies and processes, and staying updated on AI developments and regulations within the healthcare domain. The role requires experience in AI ethics, trust and safety, and risk management, with a preference for hands-on coding experience in AI/ML and knowledge of XAI and regulatory landscapes.

This role focuses on ensuring AI projects at Merck are developed and deployed responsibly, with a strong emphasis on risk mitigation, ethical considerations, and rigorous testing and evaluation of AI models and systems. It involves consulting with stakeholders, developing policies, and staying abreast of regulatory changes within the healthcare domain.

This role leads the end-to-end portfolio of commercial data products and services for the Human Health organization globally. It involves defining strategy, delivery, quality, and adoption of data assets supporting marketing, sales, market access, and other HH teams. The role requires partnering with various teams to understand data solution needs, manage demand, negotiate timelines, and deliver services. A key responsibility is ensuring the data ecosystem is AI and Gen AI ready, and leveraging AI/agentic AI for automation and reimagining the data product lifecycle. The leader will also collaborate on best practices for data product management and scaling, and ensure data governance, privacy, and compliance (HIPAA, CCPA/CPRA) are embedded in product design.

The Business Analyst supports the identification, delivery, and sustainment of country-level automation, analytics, and AI solutions that enhance clinical trial operations. This role involves assisting with business case preparation, data analysis, dashboard/report building, workflow documentation, solution testing, training, and user support, ensuring solutions are compliant, adopted, and continuously improved. The role also supports alignment and scalability for regional and global solutions and may assist with various regional operations initiatives.

This role focuses on identifying, designing, and delivering technology solutions, including automation, analytics, and AI, to improve clinical trial operations within the healthcare sector. The Senior Business Analyst will lead the development of business cases, oversee the end-to-end delivery of country-level tools and solutions, and ensure compliance with regulations. The role emphasizes data literacy, automation/AI awareness, and product ownership to drive measurable improvements and scale successful solutions.

This role leads the end-to-end portfolio of commercial data products and services for the US Market Human Health organization. It involves defining product strategy, delivery, quality, and adoption for data assets supporting various commercial functions. The role requires partnering with multiple teams to understand data needs, lead delivery of services, and ensure the data ecosystem is AI and Gen AI ready. It also involves managing product lifecycles, leading multidisciplinary teams, and embedding governance, privacy, and compliance.

This role is primarily focused on agile delivery leadership for AI-enabled products and custom AI solutions within a healthcare company. The Senior Agile Lead will coach teams, manage delivery outcomes, and facilitate stakeholder communication, while maintaining a solid understanding of AI trends and their delivery implications. The role requires experience in complex, enterprise, or regulated environments.

This role focuses on designing, implementing, and optimizing enterprise observability solutions using AIOps, modern observability practices, and large-scale monitoring platforms. The goal is to improve system reliability, operational intelligence, and incident response by leveraging metrics, logs, traces, and event correlation, with a specific emphasis on anomaly detection, event correlation, and predictive alerting to reduce alert noise and improve signal quality.

Seeking an Enterprise Observability Architect to define and drive a company-wide observability strategy, architecting a unified, full-stack platform to improve service reliability and performance. This role involves strategic leadership, standardization, and evangelizing best practices across engineering teams, with a focus on SRE principles and AIOps.

Distinguished Scientist role in Vaccines & Advanced Biotechnologies Process R&D at Merck, focusing on the process development and clinical manufacturing of vaccine drug substances. The role involves crafting scientific strategy, fostering collaborations, mentoring talent, and advising on complex technical challenges, with a requirement for experience in CMC leadership and regulatory submissions. While AI/ML is mentioned as an area of understanding, it is not the core craft of the role.

Merck is seeking a Senior Specialist in Business Insights & Analytics for their US Oncology, Digital Human Health team. This role focuses on leveraging data to provide strategic insights for commercial teams, inform go-to-market strategies, and drive customer understanding. The individual will translate business needs into analytical plans, collaborate with cross-functional teams, and stay updated on industry trends, including the application of GenAI. Experience with healthcare data, particularly EMR/EHR and claims data, is required, along with a strong understanding of commercial analytics and technology. The role emphasizes an entrepreneurial and consultative approach, with a need to understand the responsible use of AI in a regulated environment.

Intern/Co-op role in Merck's Commercial Operations department, focusing on the Data team. Responsibilities include supporting the development and coding of new advanced models and use cases to deliver actionable insights. Requires a strong analytical mindset, structured approach, and proficiency in Python and Data Science. Primarily focused on data-related tasks for business insights.

Seeking a Senior Specialist of Financial Data & Advanced Analytics to develop and deliver advanced analytic solutions for strategic decision-making across Merck's enterprise. The role involves data modeling, predictive analytics, forecasting, scenario analysis, and performance management, partnering with various finance and data teams. Requires expertise in ML, data analysis, BI tools (Power BI, SQL/Python), and working within agile methodologies, with a strong emphasis on analytical rigor and model governance within a regulated financial environment.

The Business Analyst – Automation, Analytics & AI supports the identification, delivery, and sustainment of country-level automation, analytics, and AI solutions that enhance clinical trial operations. The role assists with business case preparation, data analysis, dashboard/report building, workflow documentation, solution testing, training, and user support. They ensure solutions are compliant, adopted, and continuously improved.

The Digital Campaign Manager at Merck partners with Digital, Data & Analytics (DD&A) and cross-functional teams to drive the evolution of the Go-to-Market model. The role focuses on planning, orchestrating, and optimizing digital campaigns, products, and solutions that enhance customer experience and business impact. This role involves end-to-end digital initiatives across campaigns, platforms, automation, and innovation, with a focus on applying AI and data-driven tools to optimize targeting, personalization, content, and operational efficiency.

The Senior Business Analyst - Automation, Analytics & AI role at Merck focuses on identifying, designing, and delivering technology-enabled solutions to improve clinical trial operations. This involves leading the intake and assessment of local automation, analytics, and AI initiatives, creating business cases, overseeing the development of country-specific tools, and scaling successful solutions. The role requires ensuring adherence to regulations, driving measurable impact through KPIs, and managing the full solution lifecycle from ideation to retirement. While the role involves AI/ML pilots and awareness of AI/ML use cases, its primary focus is on delivering operational improvements and tools rather than core AI research or model development.

This role is responsible for brand management and marketing strategy for cardiovascular products within Merck's pharma portfolio. It involves developing and executing marketing plans, understanding market dynamics, driving execution excellence, and maximizing the performance of mature products. The role also contributes to launch readiness for pipeline therapies and requires strong project ownership and cross-functional collaboration. A key aspect is integrating AI-enabled insights and tools to enhance marketing activities and the go-to-market approach, alongside analyzing market trends and data.

Seeking a Senior Manager for Strategic Forecasting in the pharmaceutical industry. This role involves leveraging analytics and technology to forecast long-range pharmaceutical asset performance across product lifecycles. The ideal candidate will use advanced analytical techniques like Monte Carlo simulations, agent-based modeling, NLP, and clustering to drive decision-making and improve forecast accuracy. Responsibilities include conceptualizing and delivering forecasts, collaborating with stakeholders, driving innovation and automation, and managing a team.

Associate Director, Technical Product Management at Merck, focusing on integration platforms within the healthcare domain. The role involves collaborating with stakeholders, translating business requirements into technical specifications, and leading agile teams to implement solutions. It requires evaluating emerging technologies like AI/ML, managing product roadmaps, and ensuring scalability, security, and compliance with health sciences regulatory standards (HIPAA, FDA).

Senior Test Automation Engineer responsible for designing, building, and maintaining scalable test automation frameworks, including integrating AI/ML capabilities into test automation lifecycles for functional, regression, performance, and AI-assisted testing.

This role is for an intern in Applied Data Science & AI focused on Quality Improvement within the Animal Health division at Merck. The intern will develop AI-based tools to help colleagues in Quality teams work more efficiently and effectively on problem-solving and process improvement. Responsibilities include exploring AI applications, building tools, training colleagues, and providing fresh perspectives. The role requires a 4th-year HBO student in Applied Data Science & ICT, with a 5-6 month commitment.

Associate Director, Community Engagement for a Finance Digital Office, responsible for building and leading digital community programs, learning pathways, and adoption measurement for finance professionals globally. Focuses on digital transformation, adoption of tools like Microsoft Copilot, Python in Excel, and Power BI, and measuring engagement and impact.

AI Engineer role at Merck focused on building and deploying AI solutions, particularly RAG and generative AI applications, within healthcare R&D, manufacturing, and commercial operations. The role involves coding, DevSecOps, API development, and staying current with AI advancements.

Engineering Lead for Master Data Management (MDM) and Reference Data Management (RDM) solutions, focusing on designing, developing, and delivering scalable data platforms. This role involves technical leadership, coaching a team, collaborating with stakeholders, and exploring the application of AI/ML for data quality and engineering efficiency improvements.

Solution Architect role focused on designing and evaluating enterprise-level architectures for Data & Analytics, Intelligent Automation, and AI, including GenAI and machine learning lifecycles. The role involves collaborating with teams, monitoring trends, and ensuring seamless integration and compliance within a regulated healthcare environment.

The Business Analyst – Automation, Analytics & AI supports the identification, delivery, and sustainment of country-level automation, analytics, and AI solutions that enhance clinical trial operations. This role involves business case preparation, data analysis, dashboard/report building, workflow documentation, solution testing, training, and user support, ensuring solutions are compliant, adopted, and continuously improved.

The Business Analyst - Automation, Analytics & AI will help drive smarter, faster and more innovative ways of working across clinical trial operations. Working with the Clinical Research Director, AA & AI Lead and Senior Business Analysts, you will help turn ideas into practical solutions through business cases, data insights, dashboards, workflow documentation, testing, training and user support.

This role focuses on creating next-generation mammalian cell lines for therapeutic development by designing synthetic genetic circuits, managing multi-omics datasets, and utilizing NGS. It involves applying machine learning (ML) or deep learning (DL) models to inform experimental design and predict cell line performance, alongside computational modeling of cellular pathways and metabolism. The role requires strong programming skills in Python or R for biological data analysis and experience with Linux/Unix environments.

Manager for a strategic forecasting team in the pharmaceutical industry, focusing on applying advanced analytics and statistical techniques to forecast product potential and inform decision-making. The role involves collaborating with stakeholders, driving innovation, and ensuring forecast accuracy.

This is a commercial-digital leadership role focused on driving commercial outcomes through digital, data, and AI in the Japan business. The role acts as a strategic partner to senior commercial leadership, translating business priorities into outcome-driven plans and embedding advanced intelligence into decision-making. It involves leading demand orchestration, enterprise alignment, and people leadership for a Digital & Technology function. The ideal candidate is a commercially grounded leader with experience in digital, advanced analytics, data, or AI within the pharmaceutical industry.

This role focuses on translating automation, analytics, and AI initiatives into practical, scalable solutions for clinical trial operations within Merck. The Senior Business Analyst will lead the development of business cases, oversee the end-to-end delivery of tools and solutions (including AI-assisted processes and pilots), conduct data analysis, develop dashboards, and ensure compliance and adoption. The role requires experience in data analysis, process improvement, and delivering technology-enabled transformations, with a strong emphasis on product and solution ownership across the full lifecycle.

This role supports the identification, delivery, and sustainment of country-level automation, analytics, and AI solutions to enhance clinical trial operations. Responsibilities include business case preparation, data analysis, dashboard building, workflow documentation, solution testing, training, and user support, ensuring compliance and continuous improvement.

Senior Business Analyst for Automation, Analytics & AI at Merck, focusing on improving clinical trial operations efficiency, quality, and compliance. The role involves identifying opportunities, developing business cases, leading the delivery of technology solutions (including AI-assisted processes), and ensuring compliance with regulations. The position emphasizes end-to-end solution ownership and collaboration with various stakeholders.

This role focuses on curating, preprocessing, and integrating large-scale proteomics, genetics, and multi-omics datasets for biomarker and target discovery. It involves exploring and developing statistical and AI/ML approaches for these purposes, and building causal networks. The role is within a Research and Development division at Merck, specifically in the Precision Genetics group.