Pfizer

Senior Manager role focused on designing, developing, and deploying AI agents for enterprise workflow automation, decision enhancement, and intelligent user interactions. Requires experience with agentic orchestration frameworks, vector databases, RAG, and LLM principles, along with leadership in managing technical teams and delivering enterprise-scale projects.

Lead a team focused on rapidly determining the solvability of ambiguous AI/ML problems for commercial use cases in a regulated pharmaceutical environment. The role involves hands-on technical leadership, rapid prototyping (2-6 week cycles), enforcing engineering excellence, and guiding the adoption of Generative AI, including LLMs and RAG, with a focus on building production-ready prototypes that can scale.

AI/ML Engineer role focused on vaccine research, applying AI/ML to discover and develop vaccines. Responsibilities include shaping scientific strategy with AI, owning foundational and predictive modeling end-to-end, advancing generative AI for vaccine design, engineering robust ML systems, decoding high-dimensional biology, and elevating AI fluency. Requires PhD or Master's with experience in AI/ML within life sciences, knowledge of vaccine R&D, and expertise in foundation models, generative AI, and ML system design.

AI/ML Engineer role focused on vaccine research, applying AI/ML to discover and develop vaccines. Responsibilities include shaping scientific strategy with AI, owning foundational and predictive modeling end-to-end, advancing generative AI for vaccine design, engineering robust ML systems, decoding high-dimensional biology, and elevating AI fluency. Requires PhD or Master's with experience in AI/ML within life sciences, knowledge of vaccine R&D, and expertise in foundation models, generative AI, and ML system design.

This role focuses on building and deploying production-grade full-stack applications that integrate LLM and AI capabilities into pharmaceutical research workflows. Responsibilities include developing backend services for data processing, embedding generation, vector search, and LLM orchestration, creating frontend interfaces, implementing RAG systems and agentic LLM architectures, and deploying/maintaining systems on AWS. The role also involves contributing to semantic frameworks and conceptual research.

This role focuses on applying LLMs and agentic AI to scientific workflows in healthcare (Pfizer). The scientist will identify use cases, build reusable workflows and agentic systems, and partner with scientists to ensure adoption and impact. The role emphasizes practical application, scientific credibility, and scalable solutions.

Head of AI Delivery & Enablement (AIDE) at Pfizer, leading strategy and technical direction for applied AI in Inflammation & Immunology. Focuses on translating advances in LLMs, agentic systems, and multimodal AI into reusable capabilities, establishing governance and evaluation standards, and driving AI adoption. Requires strong technical credibility in AI/ML and computational biology, with experience in strategy, portfolio management, and scaling reusable solutions.

Senior Manager, Data & AI Engineer role focused on building and scaling data and AI engineering capabilities for AIT programs. This player-coach role involves end-to-end platform capability design (L4+), coordinating with various teams, and ensuring trusted data consumption and AI adoption. Responsibilities include designing and delivering production-grade data pipelines, semantic layers, model/LLM serving services, and operational tooling with strong engineering discipline. The role also emphasizes cross-functional alignment, AI consumption enablement (semantic/context layers, orchestration patterns), data quality, observability, MLOps/LLMOps, and backend services development.

Senior Manager, Applied AI Workflow Scientist at Pfizer, focused on applying LLMs and agentic AI to scientific use cases in Inflammation & Immunology. The role involves identifying high-value scientific applications, building reusable AI workflows and agentic systems, and partnering with scientists to ensure adoption and impact. It emphasizes practical application, scientific credibility, user partnership, and scalable workflows.

This role focuses on building and deploying full-stack applications that integrate LLM and AI capabilities into pharmaceutical research workflows. Responsibilities include developing backend services for data processing, embedding generation, vector search, and LLM orchestration, implementing RAG systems and agentic architectures, and creating frontend interfaces. The role also involves contributing to semantic frameworks and deploying systems on AWS.

Director of AI Engineering role focused on applying AI automation and advanced analytics in regulated healthcare R&D operations. The role involves leading the definition and delivery of AI solutions for lab and office workflows, strengthening operational decision-making through predictive models, enabling regulated AI systems with governance, optimizing development planning, and engineering/scaling production-grade ML platforms. Requires expertise in predictive modeling, optimization, automation, generative AI, and ML system design, with strong programming skills in Python and ML frameworks, and experience scaling models in cloud/HPC environments. Collaboration across scientific, operational, quality, and business teams is critical.

Senior Manager role focused on building and operating MLOps platforms and ensuring end-to-end observability for ML systems within a healthcare company. The role involves leading the design and implementation of platforms for model deployment, monitoring, and lifecycle management, integrating with cloud-native environments and DevOps practices. Key responsibilities include establishing observability tooling, defining reliability signals, implementing testing and validation, and enabling data scientists to move models to production safely. The role also emphasizes people leadership and continuous improvement using SRE principles.

Internship role supporting data analytics, business intelligence, and AI-enabled initiatives within Pfizer's Commercial Excellence & Innovation team. Focuses on improving data quality, translating data into insights, and supporting early AI/advanced analytics use cases in a regulated environment. Involves data preparation, analysis using Python/SQL, and exposure to ML concepts, LLMs, and AI agents.

This internship focuses on data extraction, transformation, and analysis using SQL, developing dashboards with visualization tools, and supporting AI/advanced analytics use cases. The role involves data preparation, exploratory analysis, and contributing to analytics standardization and data quality within Pfizer's Global Logistics - Strategic Analytics team.

AI Data Engineer focused on Computational Toxicology at Pfizer. The role involves applying Data Engineering and MLOps best practices to automate scientific workflows, curate AI-ready datasets, and enable scalable AI solutions for drug safety science. This includes preparing, structuring, and validating data for AI-enabled toxicology assessments, integrating multi-modal datasets, and implementing scalable data pipelines.

AI Data Engineer focused on Computational Toxicology at Pfizer. The role involves applying Data Engineering and MLOps best practices to automate scientific workflows, curate AI-ready datasets, and enable scalable AI solutions for drug safety science. This includes preparing, structuring, and validating data for AI-enabled toxicology assessments, integrating multi-modal datasets, and implementing scalable data pipelines.

This role is for a Senior Manager, AI and Data Science Solution Engineer at Pfizer in Greece. The primary focus is on implementing technology solutions across various functions, coordinating with delivery engineers, acting as a technical interface, developing user stories, and assisting with test execution. While the role involves using AI tools and understanding responsible AI practices, it does not involve core AI/ML model development or research.

This role is for a senior Software Engineer acting as a 'startup CTO' within business units (Commercial, Manufacturing, R&D) at Pfizer. The primary focus is on designing, building, and maintaining software systems that deliver business value, leveraging AI tools to enhance productivity and verifying AI-generated code. The role involves technical strategy, architectural direction, driving delivery of critical initiatives, developing technical leaders, shaping technology-driven business strategy, and establishing AI-augmented engineering workflows. It emphasizes problem discovery, rapid prototyping, and bridging the gap between engineering and business needs.

Software Engineer role focused on designing, building, and maintaining software systems that deliver business value within R&D at Pfizer. The role emphasizes leveraging AI tools to enhance productivity, critically evaluating AI-generated code, and integrating AI capabilities into solutions. This forward-deployed position operates like a 'startup CTO' within business units, bridging product building and problem-solving through rapid solution delivery and domain expertise, with a focus on full-stack development, business immersion, and stakeholder management.

Staff Software Engineer focused on designing, building, and maintaining software systems that deliver business value within R&D units. This role involves leveraging AI tools to enhance productivity, verifying AI-generated code, and operating like a 'startup CTO' to bridge the gap between product building and solving business problems through rapid solution delivery. The engineer will identify recurring patterns and hand off validated solutions to Platform Engineers.

This is a 15-month training program for mid-career professionals in biopharmaceutical manufacturing. The trainee will support the development, implementation, and improvement of industrial automation and digital solutions, including AI-enabled systems, under supervision. The role focuses on building a foundation in automation, digital technologies, and the responsible use of Generative AI within regulated frameworks.

This role is for a senior software engineer who will design, build, and maintain software systems, leveraging AI tools to enhance productivity and verifying AI-generated code. The role involves being embedded with business units (Commercial, Manufacturing, R&D) to act as a 'startup CTO', bridging product building and business problem-solving. Responsibilities include driving technical initiatives, developing technical leaders, shaping technology-driven business strategy, designing AI-augmented engineering workflows, establishing reliability and documentation standards, and driving process efficiency. The role emphasizes curiosity, outcome ownership, polymath orientation, precision communication, and systems thinking, with expert-level skills in business immersion, data integration, full-stack development, multi-audience communication, problem discovery, rapid prototyping, stakeholder management, and team collaboration. Practitioner-level skills include AI evaluation and verification.

This role focuses on designing, prototyping, and developing laboratory automation solutions for process development in healthcare, leveraging machine learning, computer vision, and digital tools to enhance experimentation and automation goals. It involves integrating hardware, analytical devices, and implementing robotic control and data management systems, with a requirement for Python or C++ programming for AI/ML applications.

This role is for a Sr. Manager Full Stack Developer at Pfizer, focusing on implementing technology solutions across the company, from research to manufacturing. The role involves leading scrum teams, managing projects, overseeing release management, and managing budgets and resources. While the role mentions using common AI tools like ChatGPT, its core responsibilities are in software development, project management, and team leadership within the pharmaceutical domain, not in building or researching AI models.

Senior Manager, Cloud Infrastructure Engineer at Pfizer responsible for architecting, building, and operating cloud-native infrastructure (AWS/Azure) to support AI/ML workloads, data pipelines, and model execution. This includes owning infrastructure-as-code, CI/CD pipelines, Kubernetes, and MLOps components, ensuring reliability, security, and scalability for analytics and ML teams. The role focuses on enabling AI/ML infrastructure without directly owning data science outcomes.

Senior Manager, Data Operations Engineer at Pfizer, responsible for architecting and implementing AI solutions at scale, leading the design, build, and operation of data and analytics platforms, owning operational pipelines, and enabling data scientists and ML engineers by ensuring production-ready data assets. The role focuses on DataOps, data reliability, quality, observability, and testing for data pipelines supporting AI/ML use cases, with a strong emphasis on cloud-native patterns (AWS/Azure) and CI/CD automation.

This role focuses on designing, prototyping, and developing laboratory automation solutions for process development in healthcare, leveraging technologies like computer vision and machine learning. It involves integrating automated hardware, implementing robotic control and data management systems, and using coding languages like Python or C++ for AI/ML applications. The goal is to enhance automation for laboratory experimentation and drug development workflows.

Seeking an Associate with AI familiarity for marketing and sales modeling and optimization initiatives. Requires Python programming, scalable analytics workflows, statistical modeling, experimentation, and data engineering best practices. Role involves architecting analytics workflows, driving insights, building advanced statistical models, writing production-grade Python code, and collaborating cross-functionally. Experience with SQL and cloud platforms is necessary.

This role focuses on implementing and overseeing the GCP Quality Management System (QMS) for clinical development activities in China. It involves ensuring compliance with global standards and regulatory requirements, managing inspections and audits, and providing vendor quality oversight. A key aspect is contributing to digital and AI initiatives, supporting AI-enabled processes like Site Start-Up, participant recruitment, eSource, and data analysis, with the goal of improving quality and operational efficiency in clinical development.

The Associate MQA Downstream role at Pfizer is responsible for ensuring quality and compliance with cGMP standards in pharmaceutical manufacturing processes, specifically in Terminal Sterilization, Visual Inspection, and Packing areas. This involves reviewing batch records, performing inspections, monitoring processes, and identifying areas for improvement to ensure product safety and patient care.

This role is responsible for executing content management of non-complex local product documents, local label documents, and patient leaflets for nationally registered products. It involves system management for labeling activities, QC of labeling text, and ensuring data integrity. The role requires basic knowledge of labeling and regulatory principles, proficiency in systems, and experience with structured data. Experience in Regulatory Affairs, particularly with product labeling and regulatory guidelines, is important.

Associate role in pharmaceutical manufacturing at Pfizer, focusing on supporting production processes, problem-solving, and ensuring quality and adherence to standards. Requires a High School Diploma/GED and 2+ years of experience, with bonus points for cGMP experience and familiarity with AI tools.

This role supports the Quality Organization by ensuring compliance with regulatory requirements, company quality systems, and cGMP. It focuses on continuous improvement, project leadership, and cross-functional partnerships to enhance compliance, efficiency, and inspection readiness in a pharmaceutical manufacturing environment.

Pfizer is seeking a Senior Director of Clinical Development Scientist to provide scientific oversight and ensure the quality of clinical trials in Internal Medicine. The role involves leading clinical execution, protocol development, data and safety review, and collaboration with various stakeholders including Health Authorities and KOLs. The position also requires managing clinical deliverables, ensuring TMF compliance, and potentially contributing to regulatory filings and publications. The role may also involve managing and mentoring other clinical colleagues.

Instrument Engineer role at Pfizer's biopharmaceutical manufacturing site in Strängnäs, Sweden. Responsibilities include developing, managing, and future-proofing plant instrumentation, ensuring compliance with quality standards and validated status. The role involves technical expertise, leading technical tasks, participating in qualification and deviation management, preventive maintenance planning, continuous improvement initiatives, and managing service agreements. Requires a technical degree or equivalent experience, expertise in instrumentation/metrology/electrical fields, understanding of measurement techniques and uncertainties, and experience in regulated environments (GMP is a plus). Strong communication skills in Swedish and English are necessary. The ideal candidate is structured, analytical, solution-oriented, responsible, and collaborative.

Lead people, technology, and financial resources in pharmaceutical manufacturing to achieve desired outcomes, ensuring adherence to SOPs, GMPs, and plant protocols. Manage investigations, corrective actions, and team performance while fostering continuous improvement and compliance.

Pfizer is seeking an Engineering Maintenance Technician in Dublin, Ireland, to manage maintenance and reliability engineering activities for utilities, buildings, and equipment. The role involves providing engineering support for project execution, operational support, reviewing work orders, conducting Root Cause Failure Analysis (RCFA), ensuring calibration compliance with Good Manufacturing Practices (GxP), and assisting in the development of the Preventative Maintenance program. The ideal candidate will have a Diploma/Degree in an Engineering/Technical Discipline or Electrical/Mechanical Trade Qualification, 3+ years of experience, and strong troubleshooting skills in mechanical and electrical systems, with desirable experience in commissioning, qualification, start-up, and process automation systems.

This role is for a Group Manager focused on Inspection Readiness within Pfizer's pharmaceutical operations in India. The primary responsibilities include managing the Site Quality Review program, overseeing CAPA management, ensuring compliance with regulations and GMP, and coordinating with global teams for inspection preparation. The role requires strong knowledge of pharmaceutical manufacturing, quality systems, and people management, with a minimum of 10 years of experience in the industry.

This role manages the process of creating and updating labeling artwork for pharmaceutical packaging, ensuring compliance with regulatory requirements and coordinating with various internal and external stakeholders. It involves initiating artwork requests, tracking changes, managing timelines, and ensuring accurate final content for product packaging.

Senior Manager, MAPP Technical Lead at Pfizer, responsible for the end-to-end architecture strategy of the MAPP compliance platform, ensuring alignment with business objectives and adherence to privacy and data protection requirements. This role involves guiding development teams, ensuring compliance with security and data governance frameworks, and identifying platform improvement opportunities.

This role is for a Senior Production Operator at Pfizer, responsible for operating, maintaining, and troubleshooting pharmaceutical manufacturing equipment. The position requires experience with cGMP, SOPs, and safety protocols, with a focus on ensuring production quality and efficiency. It involves hands-on mechanical work, data interpretation from control systems, and training new hires. The role is critical for delivering medicines to patients.

Supervisor responsible for leading downstream production of mAb products, ensuring targets, quality, compliance, cost standards, and customer service are met. This includes managing staff, planning, performance assessment, and employee counseling. Ensures work is accurate, timely, efficient, and compliant with corporate policies, SOPs, cGMP, and FDA regulations. Participates in investigations and continuous improvement initiatives using LEAN and Six Sigma. Optimizes resources for maximum production and ensures quality and safety standards.

Supervisor for downstream operations of mAb products in pharmaceutical manufacturing, focusing on production targets, quality, compliance, and team management. Ensures adherence to cGMP and FDA regulations, optimizes resources, and leads production staff.

This role is for an Assistant Associate in Engineering Stores at Pfizer, responsible for managing material receipts, storage, and issuance within the manufacturing logistics and supply team. The position involves using systems like SAP MM/EAMS/ARIBA, adhering to cGMP and safety procedures, and ensuring efficient material flow to support patient access to medicines. Key duties include inventory management, documentation, and supporting audits.

Manager for Indirect Taxation in India, responsible for hands-on management and execution of GST, Customs, and EOU-related compliances for a large multinational pharmaceutical organization. The role involves supporting the Taxation Lead in compliance, audits, reconciliations, litigation support, and regulatory interactions, ensuring timely and accurate filings and adherence to evolving tax laws.

Senior QC Laboratory Analyst at Pfizer responsible for performing and reviewing analytical testing of raw materials, API samples, and in-process samples. The role involves adhering to cGMPs, ALCOA principles, and Data Integrity requirements, troubleshooting laboratory issues, and contributing to continuous improvement activities within a regulated healthcare environment.

This role is for an Associate, Talent Acquisition at Pfizer in the Philippines, responsible for full-cycle recruitment from entry-level to Manager roles. The position involves managing end-to-end recruitment, stakeholder management, and ensuring a positive candidate experience. Key responsibilities include sourcing, selection, offer development, process compliance, and utilizing AI tools to enhance efficiency. The role requires strong organizational, communication, and problem-solving skills, with a preference for experience in the pharmaceutical industry and ATS platforms.

This role provides regulatory support for pharmaceutical products throughout their lifecycle, from initial registration to withdrawal. It involves managing regulatory dossiers, responding to health authority queries, and coordinating cross-functional activities for tenders, reporting, and launch planning. The position requires strong organizational skills, technical aptitude, and proficiency in Korean and English.