POSITION SUMMARY In this "hands-on" position, you will design, build, and deploy production-grade AI systems that will power enterprise-scale capabilities across the Clinical Development & Operations organization. This is a high-impact role for a builder who thrives on solving real-world business problems in a complex, data-rich, and regulated environment. You will be instrumental in advancing the practical application of LLMs and agentic AI by identifying high-value use cases, developing reusable workflows, and partnering with stakeholders to drive adoption and impact. Combining deep expertise in software engineering and machine learning, you will take solutions from prototype to production, embedding MLOps best practices to ensure they are reliable, scalable, and reproducible. You will drive business transformation through proactive thought-leadership, innovative analytical capabilities, and the ability to communicate highly complex information in new and creative ways. WHAT YOU"LL DO Develop and Implement AI Solutions - Build and deploy AI/ML models and solutions that support process-heavy workflows (e.g. protocol feasibility and site selection, study start-up etc.) including documentation, and operational reporting. - Contribute to the automation of manual and repetitive activities to improve speed, quality, and consistency. Strengthen Operational Decision-Making - Develop predictive, optimization, and scenario-based models to support clinical trial supply forecasting and operational planning. - Create and maintain dashboards and decision-support tools that translate complex data into actionable insights for CD&O leadership and operational teams. Engineer Production-Grade AI Systems - Implement AI solutions that are aligned with data integrity standards and governance best practices, including model validation, versioning, and monitoring. - Design and implement AI agentic solutions that can plan and execute multi-step workflows. - Build robust, production-ready ML and analytics pipelines with a focus on reproducibility and scalability. - Deploy AI solutions in cloud environments, ensuring reliability, security, and seamless integration with existing systems. Collaborate Across Disciplines - Partner closely with CD&O line teams, scientists, and Digital partners to ensure that AI efforts remain tightly aligned to real scientific needs and can be deployed in ways that are trusted, scalable, and adopted in day-to-day work. - Champion best practices in AI engineering system lifecycle. BASIC MINIMUM QUALIFICATIONS - PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support OR - Master's in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support. - Strong hands-on experience applying LLMs, generative AI, machine learning, or related AI approaches to real-world workflows, products, or analytical use cases, ideally within R&D, clinical operations or large-scale regulated organizations. - Experience building practical, reusable workflows or systems rather than one-off analyses, with strong implementation skills in Python and modern AI / ML tooling. - Sound judgment regarding methodological rigor, model limitations, evaluation, and the appropriate role of human oversight in AI-enabled workflows. - Experience working directly with domain users or stakeholders to translate ambiguous needs into useful technical solutions, with evidence of strong collaboration and communication skills. TECHNICAL SKILLSET - AI Engineering/ Framework: Strong hands‑on experience with Python building ML/DL with libraries (e.g. TensorFlow, PyTorch, Keras, Scikit-learn), and LLM‑based systems and agentic frameworks including RAG architectures, prompt engineering, embeddings, fine‑tuning, evaluation and orchestration (e.g. ADK, LangChain, LangGraph, Vertex AI, Claude). - Software & Data Engineering/ Framework: Experience with Java, JavaScript/TypeScript, React, FastAPI, SQL/PostgreSQL, Snowflake, S3, and enterprise data and knowledge systems (e.g. BigQuery, Neo4j). - Cloud, DevOps & MLOps: Proficient with Git, Docker, CI/CD, and cloud platforms (AWS/GCP/Azure), with a strong focus on reproducibility, deployment, monitoring, and production‑ready MLOps. PREFERRED QUALIFICATIONS - Experience in life sciences, pharma, biotech, systems biology, immunology, translational science, omics, or related research environments. - Experience operating across scientific and technical disciplines, with enough domain fluency to engage credibly with scientists while still bringing a strong applied-AI builder mindset. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Occasional travel may be required to collaborate with colleagues across Pfizer sites, participate in workshops, support adoption activities, or engage with internal and external partners. The annual base salary for this position ranges from $176,600.00 to $294,300.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers . Information & Business Tech

• Lead complex cross-functional initiatives from strategy through implementation using AI-first technology solutions, optimizing automations and intelligent decision support: • Transform provider policies, SOPs, playbooks, and clinical resources into engaging, interactive tools aimed to improve provider care quality and effectiveness and help them maintain compliance with all legal, regulatory, and payer requirements • Innovate provider performance feedback tools to amplify provider strengths, address risks and areas for improvement, offer focused education and ongoing professional development to hone their skills, and equip them with resources and actionable steps to achieve these goals • Design scalable quality team operational workflows that improve efficiency, reduce manual work, and enhance provider experiences. • Drive systems integrations across enterprise tools to strengthen monitoring of quality improvement initiatives that drive care delivery outcomes and identify strategic opportunities for continuous improvement • Assist in developing reporting standards for compliance and quality of care, including establishing review criteria and recommending new innovations in processes to better evaluate success • Develop and maintain policies that support compliance with accreditation and regulatory standards (e.g., CARF, NCQA). • Serve as a strategic leader in Fraud, Waste, and Abuse (FWA) prevention initiatives. • Lead and/or participate in additional projects as assigned.

• Builds and sustains long-lasting relationships with existing and potential clients (sponsors and CROs) • Builds and sustains long-lasting relationships with Investigators and Medical Institutions representatives • Assesses feasibility of research protocols based on knowledge and experience • Supervises the conduct of clinical trials in accordance with ICH GCP • Monitors individual stages of budget negotiations and research timelines • Set up meetings with Investigators, pharmaceutical and CRO companies' representatives

• Performs site qualification, site initiation, interim monitoring, site management activities and close-out visits (performed on-site or remotely) ensuring regulatory, ICH-GCP and/or Good Pharmacoepidemiological Practices (GPP) and protocol compliance. • Uses judgment and experience to evaluate overall performance of site and site staff and to provide recommendations regarding site-specific actions; immediately communicates/escalates serious issues to the project team and with guidance develops action plans. • Maintains a working knowledge of ICH/GCP Guidelines or other applicable guidance, relevant regulations, and company SOPs/processes. • Verifies the process of obtaining informed consent has been adequately performed and documented for each subject/patient, as required/appropriate. • Demonstrates diligence in protecting the confidentiality of each subject/patient. • Assesses factors that might affect subject/patient’s safety and clinical data integrity at an investigator/physician site such as protocol deviation/violations and pharmacovigilance issues. • For the Clinical Monitoring/Site Management Plan (CMP/SMP): Assesses site processes • Conducts Source Document Review of appropriate site source documents and medical records • Verifies required clinical data entered in the case report form (CRF) is accurate and complete • Applies query resolution techniques remotely and on site, and provides guidance to site staff as necessary, driving query resolution to closure within agreed timelines. • Utilizes available hardware and software to support the effective conduct of the clinical project data review and capture. • Verifies site compliance with electronic data capture requirements. • May perform investigational product (IP) inventory, reconciliation and reviews storage and security. • Verifies the IP has been dispensed and administered to subjects/patients according to the protocol. • Verifies issues or risks associated with blinded or randomized information related to IP. • Applies knowledge of GCP/local regulations and organizational procedures to ensure IP is appropriately (re)labelled, imported and released/returned. • Routinely reviews the Investigator Site File (ISF) for accuracy, timeliness and completeness. • Reconciles contents of the ISF with the Trial Master File (TMF). • Ensures the investigator/physician site is aware of the requirement of archiving essential documents in accordance with local guidelines and regulations. • Documents activities via confirmation letters, follow-up letters, trip reports, communication logs, and other required project documents as per SOPs and Clinical Monitoring Plan/Site Management Plan. • Supports subject/patient recruitment, retention and awareness strategies. • Enters data into tracking systems as required to track all observations, ongoing status and assigned action items to resolution. • For assigned activities, understands project scope, budgets, and timelines; manages site-level activities / communication to ensure project objectives, deliverables and timelines are met.