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The Enterprise Platforms &amp; Security (EP&amp;S) organization delivers the following capabilities for Pfizer. Business application platforms supporting Pfizer’s enterprise application and critical business processes. Infrastructure allowing business traffic to travel where it needs to go, internally and externally, along with the appropriate access controls. EP&amp;S secures Pfizer's most important information assets through world class controls and protections and enables Pfizer's business results by making security an enabler and not a roadblock to achieving business results.The CNSS team represents the Digital Center of Excellence (CoE) for cloud infrastructure capabilities, providing foundational public and private cloud services to all business lines, globally across Pfizer.  CNSS is a high-performing team, focused on delivering secure, scalable, compliant, operationally viable, and cost-effective cloud solutions. Working within Digital Hosting Solutions is to be at the cutting edge of cloud technology within the context of the world’s leading biopharmaceutical organization, at a time when adoption of these technologies is increasing rapidly.We are seeking a hands-on Cloud Engineer, with strong experience in Infrastructure as Code (IaC), DevOps practices, and cloud application development across multiple cloud providers (AWS, GCP). This role provides an exciting opportunity to work in a high-performing team, driving innovation in our public and private cloud services that support all Pfizer’s business lines, globally.ROLE RESPONSIBILITIESPfizer Engineers operate with the highest integrity, as CNSS teams often have privileged access to development and production environments. Protecting confidential information, identifying risks, mitigating non-compliance, and adhering to defined policies and procedures are essential.<ul><li>Collaborate with development teams to design and implement&nbsp;proactive, cloud-native solutions&nbsp;and scalable network infrastructure.</li><li>Use&nbsp;Terraform&nbsp;and&nbsp;Python&nbsp;to automate and manage cloud resources across multiple platforms, including&nbsp;AWS and GCP.</li><li>Partner with customers and the Support team to&nbsp;troubleshoot and resolve cloud service issues efficiently.</li><li>Qualify new&nbsp;AWS services&nbsp;and develop clear, comprehensive&nbsp;implementation workbooks.</li><li>Design and implement&nbsp;Infrastructure as Code (IaC)&nbsp;using Terraform to streamline deployment and management processes.</li><li>Continuously review existing&nbsp;AWS infrastructure&nbsp;to ensure alignment with&nbsp;best practices and security standards.</li><li>Research and evaluate new AWS solutions to&nbsp;enhance current systems and support future growth.</li><li>Monitor system&nbsp;performance and availability, implementing&nbsp;proactive measures for reliability and resilience.</li><li>Engage in&nbsp;business customer communication, understanding needs and guiding solutions that align with organizational goals.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).</li><li>2+ years&nbsp;of experience in&nbsp;cloud infrastructure and software development.</li><li>Strong knowledge of&nbsp;public and private cloud platforms&nbsp;(AWS or GCP).</li><li>Proficiency in&nbsp;Terraform&nbsp;and&nbsp;Python.</li><li>Demonstrated understanding and application of&nbsp;DevOps principles.</li><li>Familiarity with&nbsp;CI/CD tools and pipelines&nbsp;(Jenkins, GitLab CI, GitHub Actions).</li><li>Strong&nbsp;problem-solving skills, strategic thinking, and business acumen.</li><li>Excellent&nbsp;communication skills, both written and verbal, with the ability to convey complex technical concepts clearly.</li></ul>&nbsp;PREFERRED QUALIFICATIONS<ul><li>Master’s degree in Computer Science, Engineering, or a related field.</li><li>Certifications in&nbsp;AWS&nbsp;or&nbsp;GCP&nbsp;(e.g., Solutions Architect, DevOps Engineer, Cloud Engineer).</li><li>Experience with&nbsp;containerization&nbsp;and&nbsp;orchestration&nbsp;(Docker, Kubernetes).</li><li>Knowledge of&nbsp;cloud security best practices&nbsp;and application development security.</li><li>Understanding of&nbsp;regulatory compliance and security standards&nbsp;in the pharmaceutical industry.</li></ul>&nbsp;&nbsp;Please apply by sending your CV in English.

Sr Associate, Cloud Engineer

At Pfizer, technology impacts everything we do. Our digital and 'data first' strategy focuses on implementing impactful and innovative technology solutions across all functions, from research to manufacturing. By digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives. Your dedication and hard work will be instrumental in helping Pfizer achieve new milestones and make a positive impact on patients worldwide.What You Will AchieveIn this role, you will:ROLE RESPONSIBILITIESThe ideal candidate must bring functional/technical capabilities, an understanding of Agile methodologies, a strong desire to learn new digital technologies and solutions, as well as an interest in Source to Pay related business processes in a dynamic, fast-paced and collaborative environment.<ul><li>Deliver world class execution across a large portfolio of solutions that crosses many applications and technologies including SAP and non-SAP systems, as well as emerging technologies.</li><li>Gather requirements, develop GAP analysis, outline system integration points and overall system design to ultimately setup a fully functional development, test, and production environment.</li><li>Coordinate activities across a cross-functional team located over diverse geographical locations.</li><li>Transform high-level business needs into detailed functional and technical specifications.</li><li>Manage the design, configuration, development, testing and implementation of projects.</li><li>Provide technical and functional guidance to internal Pfizer clients. These including data, infrastructure, integration, and Security teams.</li><li>Develop technical specification and estimations for assigned projects.</li><li>Collaborate closely with global Digital teams to deliver solutions on time and within budget.</li><li>Assist production support team to fix problems in a timely manner.</li><li>Develop strong relationships at all levels and with different cultural backgrounds.&nbsp;</li><li>Communicate effectively to manage business expectations.</li><li>Leverage agile methodologies for solution planning and project execution.</li></ul>Here Is What You Need (Minimum Requirements)<ul><li>Bachelor’s degree in computer science or related degree.</li><li>5 years of relevant experience in a technology position(s).</li><li>3 years of experience working for a large corporate organization.</li><li>Seasoned SAP Techno \ Functional manager with a combined 3 years’ experience in software development, system engineering and data management.</li><li>Knowledge of the software development lifecycles using agile principles.</li><li>The desire to work in fast-paced environment.</li><li>Experience working on software development projects.</li><li>Experienced working with global applications.</li><li>Effective communication skills with the ability to build relationships and influence outcomes.</li><li>Working knowledge of O365 and collaboration tools.</li><li>Documentation and Organizational skills.</li><li>Communication and Presentation skills.</li></ul>Bonus Points If You Have (Preferred Requirements)<ul><li>Experience in SAP S4 Procure to Pay configuration activities.</li><li>Understanding of SAP Programing, Fiori Apps, OData, BADI’s/BAPI’s debugging Concepts.</li><li>Programming language knowledge.</li><li>Hands-on experience with performing configurations and functional customizations.</li><li>Hands-on testing experience to ensure the solution meets customers’ requirements.</li><li>Experience with HTML, HTML5, CSS, JavaScript, JQuery and APIs.&nbsp;</li><li>Experience with Webservices (REST, SOAP).</li></ul>

Manager - Procurement Solutions

As a core member of our AI/ML, Quantitative &amp; Digital Sciences (AQDS) team, you will:<ul><li>Design, implement, and maintain full-stack applications that integrate advanced Machine Learning (ML) techniques with internal and external data sources.</li><li>Develop and apply generative AI techniques using large language models (LLMs) to automate the generation of essential clinical trial documents.</li><li>Collaborate with cross-functional teams to architect and develop scalable, cloud-native microservices and APIs for AI/ML tools aimed at optimizing patient recruitment, site selection, and clinical trial management, incorporating generative AI capabilities to streamline authoring workflows.</li><li>Leverage modern front-end frameworks (e.g., React, Angular, Vue) to build intuitive user interfaces that provide real-time insights from ML models and facilitate decision-making for clinical operations, including AI-generated document review and customization.</li><li>Work closely with DevOps and data engineering teams to streamline CI/CD pipelines, automate infrastructure as code (IaC), and ensure secure deployment of AI/ML models, including generative AI systems, across cloud environments (AWS, Google Cloud, Azure).</li><li>Implement AI/ML models in full-stack systems, ensuring robust backend processing and efficient front-end data visualization.</li><li>Engage with both internal and external stakeholders to continuously bring the latest advancements in generative AI, full-stack development, and AI/ML technologies to Pfizer, contributing to thought leadership through publications and presentations.</li></ul>ROLE RESPONSIBILITIES<ul><li>Partner with key therapy areas (e.g., Immunology &amp; Inflammation, Oncology, Internal Medicine) to identify scientific and technical challenges, define data pipelines, and implement full-stack solutions that leverage AI/ML methods, including generative AI models, to generate actionable insights and automate clinical trial documentation.</li><li>Translate complex clinical data and analytics requirements into full-stack digital products, ensuring that development priorities align with the overall clinical development goals.</li><li>Lead the end-to-end development of full-stack applications, from database schema design and API development to front-end user interfaces, ensuring seamless integration with AI/ML workflows and LLM-powered document generation systems.</li><li>Supervise and guide the deployment of robust back-end services that support predictive and classification algorithms, as well as generative AI models, ensuring scalability, security, and performance.</li><li>Develop and maintain dashboards and data visualization tools that provide clinical and operational teams with real-time analytics and insights driven by advanced ML models, while integrating tools for generating and reviewing AI-authored clinical trial documents.</li><li>Maintain an active external network in the AI/ML, generative AI, and full-stack development communities, continuously monitoring state-of-the-art capabilities and evaluating their potential impact on Pfizer’s development teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, Computational Biology, or a related technical discipline.</li><li>Minimum of 2 years of experience in full-stack development in the pharma, biotech, or tech industry.</li><li>Proficient in full-stack development, including back-end technologies (Node.js, Django, Flask) and front-end frameworks (React, Angular, Vue).</li><li>Strong understanding of database technologies (SQL, NoSQL) and experience in designing RESTful APIs and microservices architectures.</li><li>Experience with AI/ML model integration, including developing APIs to interface with ML models and building front-end components for real-time data visualization.</li><li>Experience working with large language models (LLMs) for generative AI applications.</li><li>Strong programming skills (Python, JavaScript, R) and familiarity with cloud technologies (AWS, Google Cloud, Azure).</li><li>Experience working with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation tools (Terraform, Ansible).</li><li>Strong written and verbal communication skills with the ability to translate complex technical concepts for non-technical stakeholders.</li></ul>Preferred Qualifications<ul><li>Master’s degree in a technical or scientific discipline (e.g., Computer Science, Computational Biology, Engineering).</li><li>Hands-on experience with the full-stack development of clinical trial management systems, focusing on integrating AI/ML-driven insights into clinical workflows, and automating document generation through LLMs.</li><li>Proven experience leading end-to-end clinical development projects, particularly in Phases 2 and 3, from study design to regulatory submission.</li><li>Experience with data engineering workflows, including ETL processes, data lakes, and scalable data architectures.</li><li>Prior experience working with distributed teams across multiple time zones is a plus.</li></ul>&nbsp;Please apply by sending your CV and a motivational letter in English

AI/ML Senior Associate Scientist

We are seeking a motivated and experienced AWS Solution Engineer with a strong foundation in AWS cloud technologies and a focus on Infrastructure as Code (IaC). This role provides an exciting opportunity to influence Pfizer's cloud infrastructure strategy, helping deliver scalable, secure and cost-effective solutions across multiple business units. &nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;As the AWS Solution Engineer, you will be responsible for driving the technical direction of Pfizer’s cloud infrastructure. You will lead the deployment and management of AWS cloud solutions, ensuring they are secure, scalable and aligned with Pfizer's security best practices.&nbsp; &nbsp;Responsibilities include:<ul><li>Work collaboratively with a cross-functional team of engineers, developers, and product specialists, contributing to the creation of secure, compliant and scalable cloud infrastructure solutions for Pfizer.</li><li>Design, develop and maintain IaC solutions using tools such as Terraform and AWS CloudFormation for managing and automating cloud infrastructure within AWS.</li><li>Establish and enforce best practices for IaC, including code reviews, documentation, and testing to ensure quality and maintainability.&nbsp;</li><li>Drive the adoption of new technologies and methodologies to continuously improve our cloud infrastructure.</li><li>Provide technical leadership, mentorship, and guidance to other team members, sharing knowledge and expertise on cloud infrastructure and IaC best practices.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.</li><li>5+ years of experience in cloud infrastructure engineering, with a focus on AWS.</li><li>Demonstrated experience with IaC tools (Terraform, AWS CloudFormation) and DevOps methodologies.</li><li>Proficiency in at least one programming languages such as Python, Java, or Go.</li><li>Familiarity with CI/CD tools and processes, such as GitHub Actions or Jenkins.</li><li>Excellent problem-solving skills, with the ability to articulate complex issues and provide clear and actionable solutions.</li><li>Excellent communication skills, with the ability to present technical information effectively to both technical and non-technical audiences.</li></ul>PREFERRED QUALIFICATIONS&nbsp;<ul><li>Master's degree in Computer Science, Engineering, or a related field.</li><li>AWS Certified Solutions Architect, DevOps Engineer, or similar certifications.</li><li>Knowledge of security best practices for cloud infrastructure.</li><li>Experience working in regulated industries such as pharmaceuticals&nbsp;</li><li>Prior experience in mentoring and leading teams within a cloud infrastructure engineering context.</li></ul>&nbsp;&nbsp;Please apply by sending your CV and a motivational letter in English.

Manager, AWS Solution Engineer

We are seeking a highly motivated and growth-oriented Senior DevOps Engineer with a strong focus on Infrastructure as Code (IaC). The ideal candidate is eager to learn, thrives in a collaborative team environment, and can also operate independently to drive initiatives. In this role, you will design, implement, and maintain scalable, reliable cloud infrastructure and applications while partnering with solution teams across the organization. You will play a key role in advancing strategic initiatives that enhance efficiency, scalability, and resilience in our global cloud environment.ROLE RESPONSIBILITIES&nbsp;The DevOps Engineer role provides both technical and design expertise and will be key in ensuring the organization continues to adopt modern DevOps practices and cloud-native design patterns to support new and existing projects. The role will help ensure delivery of a secure, compliant, efficient, and innovative infrastructure environment.This role will influence how engineering teams consume and utilize cloud hosting technologies at scale and will be critical in advancing the organization’s DevOps capabilities and modernization initiatives.Responsibilities include:<ul><li>Work in a cross functional, global engineering and service development team while creating internal engineering and development standards.</li><li>Design, develop, and maintain IaC solutions using tools such as Terraform and CloudFormation, to manage and automate cloud infrastructure.</li><li>Establish and enforce best practices for IaC, including code reviews, documentation, and testing to ensure quality and maintainability.</li><li>Drive the adoption of new technologies and methodologies to continuously improve our cloud infrastructure and application development processes.</li><li>Provide technical leadership, mentorship, and guidance to other team members, sharing knowledge and expertise on cloud infrastructure and IaC best practices.</li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.</li><li>3+ years of experience in software development and cloud infrastructure.</li><li>Experience with AWS, including the deployment and management of cloud resources using IaC.</li><li>Proficiency in at least one programming language, such as Python, Java, or Go.</li><li>Demonstrated experience with IaC tools (Terraform, CloudFormation, etc.) and DevOps methodologies.</li><li>Excellent problem-solving skills, strategic thinking, and strong business acumen.</li><li>Excellent communication skills, both written and verbal, with the ability to present complex technical information in a clear and concise manner.</li></ul>PREFERRED QUALIFICATIONS&nbsp;<ul><li>Master's degree in Computer Science, Engineering, or a related field.</li><li>Certifications in AWS, such as Solutions Architect or DevOps Engineer.</li><li>Experience with containerization and orchestration technologies, such as Docker and Kubernetes.</li><li>Familiarity with CI/CD tools and processes, such as Jenkins, GitLab CI, or GitHub Actions.</li><li>Knowledge of security best practices for cloud infrastructure and application development.</li><li>Understanding of regulatory compliance and security standards in the pharmaceutical industry.</li><li>Experience in the pharmaceutical or biotechnology industry.</li><li>Prior experience in software engineering.</li></ul>Please apply by sending your CV and a motivational letter in English.

Senior Associate, DevOps Engineer

As a member of our AI/ML, Quantitative &amp; Digital Sciences (AQDS) team, you will:<ul><li>Generate insights using advanced AI/ML techniques from Pfizer’s internal and external data, with the focus on clinical development.&nbsp;</li><li>Partner with clinical statisticians, data scientists, clinical development leads, and evidence teams to collaborate effectively on the application of AI/ML techniques to impact Pfizer’s portfolio, under the guidance of the AQDS function lead. </li><li>Collaborate with Pfizer teams to support decision making and implementation of AI/ML models (e.g., Generative AI, Predictive AI, and Knowledge Graphs).&nbsp;</li><li>Work with a team of data scientists to develop, test, and validate AI/ML and&nbsp;Generative AI&nbsp;tools for use across multiple therapeutic areas;&nbsp;build and deploy services via FastAPI and orchestration on platforms such as Dataiku/Snowflake.&nbsp;</li><li>Work with internal and external teams to bring the latest AI/ML solutions and technologies to Pfizer.&nbsp;</li></ul>Position Responsibilities<ul><li>Collaborate with key therapy areas (e.g., Immunology &amp; Inflammation, Oncology, Internal Medicine) to identify scientific problems, map data sources, select and implement AI/ML methods (incl.&nbsp;NLP/RAG, knowledge graphs, and document processing), and convey insights to clinical and operational teams.</li><li>Review and supervise the full lifecycle, from data collection/aggregation through model building and deployment, to ensure robust performance for predictive, classification, and&nbsp;generative&nbsp;applications via well‑developed analysis and&nbsp;evaluation&nbsp;plans (e.g.,&nbsp;DeepEval,&nbsp;TruLens, RAGAS, LangSmith, Bayesian approaches).</li><li>Ensure Pfizer methodology remains current through knowledge‑sharing on new tools and vendors in AI/ML, including agent frameworks (e.g., LangChain/LangGraph, AutoGen, Crew AI, Pydantic AI) and reinforcement learning for foundational models (e.g., GRPO, PPO, RLVR).&nbsp;</li><li>Translate clinical data and analytics needs and priorities into tactical projects for AQDS to lead and advance clinical development.</li></ul>Basic Qualifications<ul><li>Advanced degree (MEng/MSc or PhD)&nbsp;in computer science, Computational Biology, Bioinformatics, Biostatistics, Applied Mathematics, Scientific Machine Learning, Physics, Operations Research or Biomedical Engineering and a minimum of 3 years related data/analytics experience in a pharma environment or biotech/tech industry.&nbsp;</li><li>Experience developing and applying AI/ML to complex, multi‑dimensional problems, including&nbsp;clinical data and document analysis.&nbsp;</li><li>Clear understanding of the opportunities and challenges presented with applying AI/ML to business problems within the life sciences industry.</li><li>Proven ability to translate customer needs into AI/ML solutions.</li><li>Strong programming skills in&nbsp;Python&nbsp;(e.g.,&nbsp;FastAPI, LangChain/LangGraph, Pydantic) and SQL; familiarity with modern data/ML tooling (e.g.,&nbsp;Dataiku, Snowflake).&nbsp;</li><li>Experience with cloud technologies (preferably&nbsp;AWS, Azure) and MLOps (GitHub Actions, Docker, MLflow).</li><li>Experience with&nbsp;Large Language Models (LLMs), including&nbsp;prompting, retrieval, evaluation, and fine‑tuning.</li><li>Excellent written and verbal communication skills.</li></ul>Preferred Qualifications<ul><li>Hands-on experience shepherding early or late-stage clinical development projects from study design through submission.</li><li>Experience applying advanced analytics and AI/ML to clinical trials.</li><li>Experience with&nbsp;LLM training/tuning, including&nbsp;reinforcement learning approaches (GRPO, PPO, RLVR)&nbsp;and evaluation frameworks.&nbsp;</li><li>Demonstrated success leading small, cross‑functional teams and working across time zones.</li><li>Evidence of external impact (e.g., publications, talks) and collaboration with internal/external partners.</li></ul>

Manager, Data Scientist

Pfizer Engineers operate with the highest integrity, as CNSS teams often have privileged access to development and production environments. Protecting confidential information, identifying risks, mitigating non-compliance, and adhering to defined policies and procedures are essential.<ul><li>Collaborate with development teams to design and implement proactive, cloud-native solutions and scalable network infrastructure.</li><li>Use Terraform and Python to automate and manage cloud resources across multiple platforms, including AWS and GCP.</li><li>Partner with customers and the Support team to troubleshoot and resolve cloud service issues efficiently.</li><li>Qualify newAWS services and develop clear, comprehensive implementation workbooks.</li><li>Design and implementInfrastructure as Code (IaC)using Terraform to streamline deployment and management processes.</li><li>Continuously review existingAWS infrastructure to ensure alignment with best practices and security standards.</li><li>Research and evaluate new AWS solutions to enhance current systems and support future growth.</li><li>Monitor system performance and availability, implementing proactive measures for reliability and resilience.</li><li>Engage in business customer communication, understanding needs and guiding solutions that align with organizational goals.</li></ul>Here Is What You Need (Minimum Requirements)<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).</li><li>2+ years of experience in cloud infrastructure and software development.</li><li>Strong knowledge of public and private cloud platforms(AWS or GCP).</li><li>Proficiency in Terraformand Python.</li><li>Demonstrated understanding and application ofDevOps principles.</li><li>Strong problem-solving skills, strategic thinking, and business acumen.</li><li>Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts clearly.</li></ul>Bonus Points If You Have (Preferred Requirements)<ul><li>Master’s degree in Computer Science, Engineering, or a related field.</li><li>Certifications in AWS or GCP (e.g., Solutions Architect, DevOps Engineer, Cloud Engineer).</li><li>Experience with containerization and orchestration (Docker, Kubernetes).</li><li>Familiarity withCI/CD tools and pipelines(Jenkins, GitLab CI, GitHub Actions).</li><li>Knowledge of cloud security best practices and application development security.</li><li>Understanding of regulatory compliance and security standards in the pharmaceutical industry.</li></ul>

Cloud DevOps Engineer

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