Merck

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 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.

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.

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.

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.

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 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.

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 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.

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.

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 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 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.

Merck is seeking a Sr. Software Engineer for their R&D IT team to enhance sample management capabilities. The role involves designing and implementing integrations, writing clean code, ensuring regulatory compliance (GxP, FDA, HIPAA), and collaborating with cross-functional teams. Experience with Gen AI, Agentic AI tools, and LLMs is mentioned as a plus.

This role supports the identification, delivery, and sustainment of automation, analytics, and AI solutions within clinical trial operations at Merck. The Business Analyst will assist with business case preparation, data analysis, dashboard/report building, workflow documentation, solution testing, training, and user support, ensuring solutions are compliant and scalable. The role requires a Bachelor's degree in a relevant field and 2 years of experience in data analysis, process improvement, or technology-enabled projects, with exposure to automation platforms, analytics tools, or AI frameworks. Experience with BI tools and basic data wrangling is preferred, as is familiarity with clinical research operations in a regulated environment.

This role focuses on identifying, designing, and deploying technology solutions, including automation, analytics, and AI, to improve the efficiency, quality, and compliance of clinical trial operations within Merck's Canadian organization. The Senior Business Analyst will lead the reception, evaluation, and implementation of local automation, analytics, and AI initiatives, develop business cases, and oversee the development and deployment of country-level tools, potentially scaling them to other countries or regions. The role requires collaboration with various internal teams and external partners, ensuring adherence to ICH GCP, company policies, and local regulations, and driving measurable impact through robust KPIs and change management.

This role focuses on identifying, designing, and delivering technology-enabled solutions for clinical trial operations, including automation, analytics, and AI initiatives. The Senior Business Analyst will lead the development of business cases, oversee the delivery of country-level tools and solutions (such as dashboards, workflow automation, RPA, and AI-assisted processes), and ensure compliance with regulations. The role emphasizes measurable impact through KPIs and change enablement, with a focus on improving efficiency, quality, and compliance in clinical trials.

This role supports initiatives that integrate AI tools across scientific operations, automated authoring workflows, and laboratory operations. The candidate will contribute to AI-driven solutions for scientific search, summarization, and information extraction, and assist in the development of automated authoring capabilities. The role also supports the development of tools, metrics, analytics, and models for operational insights and workload prediction.

Senior Business Analyst for Automation, Analytics & AI (AA & AI) at Merck, focusing on improving clinical trial operations efficiency, quality, and compliance at the country level. The role involves identifying, designing, and delivering technology-enabled solutions including automation, analytics, and AI initiatives. Responsibilities include developing business cases, overseeing the development of country tools, scaling solutions, and ensuring compliance with regulations. The role requires experience in designing and delivering automation/analytics/AI-enabled solutions and coordinating cross-functional stakeholders.

Seeking a Senior Director to lead Data & Analytics Architecture and Strategy within the Chief Data Office. This role defines enterprise-wide technology architecture, shapes cross-product strategy, and drives innovation across data and analytics capabilities, operating at the intersection of technology, product, and business strategy. Responsibilities include defining architecture, governing frameworks, leading innovation, optimizing technology strategy, and influencing senior leadership. Requires 10+ years of experience in data, analytics, and enterprise architecture, with a proven track record in leading large-scale functions and experience with modern architecture patterns and cloud technologies. Experience integrating GenAI capabilities is also noted.

Associate Director, Digital Manufacturing Systems & Operations IT at Merck, leading a team responsible for delivering, operating, and managing digital and capital systems supporting GMP manufacturing in a highly regulated biotechnology environment. Focuses on digital transformation, system lifecycle management, and leveraging data and analytics for site performance improvement.

This internship focuses on data analysis within Merck's Global Data Operations in LATAM. The role involves supporting data strategy through data collection, processing, and predictive analytics, generating insights for business decisions, building data pipelines, applying statistical methods and machine learning for forecasting, and creating visualizations. The intern will receive training and gain hands-on experience with tools like Python and Power BI, learning about the pharmaceutical industry.

Senior Software Engineer role at Merck focused on delivering enterprise AI projects, products, and platforms. The role involves full-stack development (Python, TypeScript, React), cloud deployment (AWS), CI/CD, and working with data scientists to deliver AI-driven solutions. Experience with AI/ML and Generative AI is preferred.

This role supports the implementation and support of Global Regulatory Affairs, Compliance and Safety (GRACS) Digital Strategy projects and systems, focusing on regulatory content, submission management, and information systems. It involves working across countries to ensure systems meet regional needs and continuously improve processes, with digital skills like Microsoft Power Platform and Gen AI being highly valued.

The Business Analyst role supports the identification, delivery, and sustainment of automation, analytics, and AI solutions within clinical trial operations. Responsibilities include business case preparation, data analysis, dashboard building, workflow documentation, solution testing, and user support, ensuring adherence to regulations.

Seeking a bioanalytical scientist with experience in automation and operational support for regulated bioanalytical labs conducting biotherapeutics analysis in drug development studies. The role involves designing, planning, and utilizing automation methods for assay development, validation, and sample analysis. Collaboration with team members to operate and troubleshoot automated lab equipment and systems is key, along with managing data integrity through automated processes and supporting data delivery to collaborators. The role also involves identifying, evaluating, and recommending novel automation and assay strategies, including machine learning and artificial intelligence.

This role supports the Global Quality team in the Animal Health Division, focusing on strategic projects like regulatory inspections and quality agreements, as well as operational support for production sites. While AI tools are mentioned as a potential aid, the core responsibilities are in quality management, process optimization, and regulatory compliance within a healthcare setting.

The ServiceNow Request Automation Engineer role focuses on designing, implementing, and evolving automated products and services within the enterprise ServiceNow portal. This role is critical for increasing operational integrity and productivity by automating IT service request initiation and completion processes. The position requires experience with ServiceNow development, JavaScript, databases, and Agile delivery practices.

The ServiceNow Request Automation Engineer role focuses on designing, implementing, and evolving automated products and services within the enterprise ServiceNow portal. This role is critical for increasing operational integrity and productivity by automating IT service request initiation and completion processes. The position requires experience with ServiceNow development, JavaScript, databases, and Agile delivery practices.

The ServiceNow Request Automation Engineer role focuses on designing, implementing, and evolving automated products and services within the enterprise ServiceNow portal. This role is critical for increasing operational integrity and productivity by automating IT service request initiation and completion processes. The position requires experience with ServiceNow development, JavaScript, databases, and Agile delivery practices.

This role is for a Specialist in Manufacturing Automation Engineer at Merck, focusing on the DeltaV control system. The primary responsibilities include implementing automation change controls, supporting new product introductions, analyzing business requirements for automation software, and ensuring system installations align with company standards. The role also involves system administration, troubleshooting, and documentation updates within a regulated pharmaceutical environment.

Associate Specialist, Engineering role at Merck focused on providing end-to-end automation engineering support for sterile drug product cGMP clinical supply manufacturing facilities. Responsibilities include implementation, validation, lifecycle management, and troubleshooting of process automation and OT/IT systems, ensuring reliable and compliant operations. The role supports both startup operations and new capital investments, requiring collaboration with various information and engineering teams.