Pfizer

Pfizer is seeking a Postdoctoral Fellow to apply foundation models and machine learning to integrate multi-omics data for predictive toxicology. The role involves benchmarking models, building AI pipelines to connect omics readouts to pathology, and identifying biomarkers for drug safety. The goal is to improve cross-species prediction of human toxicity risks from preclinical data, supporting drug development decisions. The position emphasizes scientific contributions through publications and potentially open-source tools.

Seeking a Postdoctoral Fellow to develop AI/ML enabled bioprocess models and control strategies for recombinant protein production. The role involves creating hybrid mechanistic-data driven models, integrating omics data, applying ML/DL for prediction, and exploring agentic AI for model orchestration and transfer learning. Responsibilities include designing experiments, implementing model predictive control, validating models, and communicating results.

This role leads the strategy and technical direction for applied AI in Inflammation & Immunology at Pfizer, focusing on translating advances in LLMs, agentic systems, and multimodal AI into reusable capabilities. The position involves shaping the AI portfolio, defining governance and evaluation standards, managing external partnerships, and driving AI adoption across scientific decision-making processes. It requires a technically credible leader with strong scientific judgment to ensure solutions are robust, trusted, and improve the speed and quality of evidence generation.

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.

Seeking a Postdoctoral Fellow to develop AI/ML enabled bioprocess models and control strategies for recombinant protein production. The role involves creating hybrid mechanistic-data-driven models, integrating omics data, applying ML for prediction, and developing model predictive control frameworks. It also includes exploring agentic AI for orchestrating model fitting and transfer learning, and designing experiments for data generation and validation.

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.

The GCA China Analytics Innovation Lead at Pfizer will drive analytics innovation, focusing on AI-driven solutions to solve complex business problems in the healthcare commercial organization. This role involves developing and executing an innovation roadmap, championing AI tool adoption, and enabling analytical capabilities within the team. The lead will partner with various stakeholders to identify opportunities, incubate, develop, and implement AI/ML initiatives, and quantify their business impact.

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.

Senior Director, US Commercial Product Lead, AIA at Pfizer. Owns the AI product roadmap for US Commercial, ensuring strategic alignment and delivery of AI-driven solutions. Leads a team of Product Owners, manages a budget, and collaborates with Commercial, Digital, and Analytics teams. Ensures adherence to data privacy, security, and ethical AI standards. Drives stakeholder engagement and change management for AI capabilities adoption. Accountable for delivering measurable business outcomes through AI.

This role is primarily focused on medical information and review within the healthcare domain, ensuring scientific accuracy and compliance of promotional and non-promotional content. While the role requires demonstrating AI fluency and using approved AI tools, its core function is not the development or direct application of AI/ML models, but rather the application of AI tools to enhance existing processes in medical information and review.

Product leader responsible for owning and delivering AI capabilities for content creation, review, and approval processes within Pfizer's commercial marketing organization. This role involves defining and executing a product roadmap, driving stakeholder engagement, and partnering with cross-functional teams to deliver AI-enabled solutions.

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 role is for a Senior Director/Team Head in Oncology Late Stage Data Review at Pfizer. The primary responsibility is to oversee data integrity, analysis, quality, and the adoption of AI and best practices for the Late-Stage Oncology portfolio. The role involves managing and mentoring a team, partnering with various functional lines, setting data review strategies, and ensuring compliance with SOPs and regulations. A key aspect is the application of AI in streamlining data review activities and embracing evolving technologies.

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.

Senior AI Product Manager at Pfizer, focused on developing and launching AI/LLM-driven digital products using rapid prototyping and MVP-first approaches. The role emphasizes defining product vision, collaborating with cross-functional teams, managing lean roadmaps, and driving agile ceremonies to accelerate time-to-value in a fast-paced, experimental environment.

This role is for a Brand Manager/Associate Brand Manager in the Oncology division, focusing on the lung cancer area at Pfizer Japan. The primary responsibility is to develop and execute brand strategies to deliver products to patients. While the role requires experience using generative AI tools like Microsoft 365 Copilot, AI is not the core craft of the position. The focus is on marketing, sales forecasting, expense management, and stakeholder engagement within the pharmaceutical industry.

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 safety surveillance research within the healthcare domain, involving epidemiological studies, literature reviews, and risk assessment for Pfizer products. While the role mentions using AI tools like ChatGPT, it is not the core craft, and the primary focus is on traditional epidemiological research and data analysis.

This role is for a Senior Director at Pfizer in Oncology, focusing on enabling Commercial Customer-Facing Colleagues (CFCs) through strategic investments in tools, processes, systems, and AI-enabled capabilities. The role involves shaping how the Oncology business enables its field force and scaling capabilities for future engagement. It requires a blend of Oncology commercial experience and data/AI fluency to translate insights into action, influencing outcomes across a matrixed organization. The responsibilities include strategic thought partnership within the Oncology CEP Leadership Team and leading enterprise-level reporting, analytics, and CRM programs, ensuring effective deployment of new capabilities at scale.

This internship within Pfizer's Global Commercial Analytics & AI (GCA) division focuses on supporting the Integrated Insights & Strategy (IIS) team in France. The role involves contributing to performance measurement, investment analysis, and leveraging insights to guide brand strategies. Key responsibilities include market analysis, customer segmentation, advanced analytics support (predictive modeling, data science, machine learning), performance tracking, competitive landscape analysis, forecasting, and managing market research studies. The role emphasizes data-driven decision-making and collaboration with various internal teams.

This role is a Senior Business Finance Centre Partner at Pfizer, responsible for ensuring timely and high-quality financial deliverables for local and regional finance teams. A key aspect of the role involves driving AI adoption and process optimization within business finance, enhancing reporting, analytics, and insight generation using AI-driven tools. The position requires strong business finance expertise, analytical skills, and the ability to guide junior team members, with a focus on supporting finance transformation and improving business performance.

This role focuses on developing and implementing new technologies and platforms, specifically an AI strategy roadmap, to drive growth in the US Internal Medicine commercial efforts for a flagship brand. It involves assessing and championing new go-to-market approaches using AI and enterprise resources to improve customer and patient experience, and ensuring successful roll-out of AI-enabled capabilities and omnichannel marketing campaigns.

This role is for a Director of Commercial Performance Analytics & Insights at Pfizer. The primary focus is on leveraging data to drive analytical insights for commercial performance tracking and reporting, including executive dashboards and omnichannel engagement. The role involves standardizing the commercial reporting ecosystem, partnering with senior business stakeholders, and collaborating with other analytical teams. While the role utilizes data science and analytics, its core function is product performance reporting and insights generation within the healthcare domain, rather than building AI models.

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 leads the LATAM training team to plan and deliver learning solutions for commercial teams, collaborates with stakeholders to implement innovative approaches, and upskills client-facing colleagues. The role partners with the Commercial Lead to co-lead the Emerging Market (EM) regional training project. The role also defines the approach for integrating AI into learning and development and drives adoption of AI-enabled tools.

This role leads an AI product for commercial acceleration, focusing on designing, developing, and scaling real-time messaging suggestions for end customers to improve engagement and drive business outcomes. The Sr. Director will own the product roadmap, backlog, and lead a cross-functional team, ensuring governance, release readiness, testing, monitoring, and adoption. The role requires understanding of AI/ML frameworks and experience leading commercial projects and teams.

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.

Senior Director, US Commercial Product Lead, AIA at Pfizer. Owns the AI product roadmap for US Commercial, ensuring strategic alignment and delivery of AI-driven solutions. Leads a team of Product Owners and manages a significant budget, with executive-level exposure and accountability for driving outcomes tied to CEO-sponsored priorities. Ensures adherence to data privacy, security, and ethical AI standards, and partners with Commercial, Digital, and Analytics teams for seamless integration.

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.

This role focuses on epidemiological research within healthcare, specifically for drug safety surveillance. It involves conducting literature reviews, designing database studies to assess risks and effectiveness of interventions, and engaging with regulatory agencies. While the role mentions using AI tools like ChatGPT, AI/ML is not the core craft.