Pfizer

This role focuses on designing, building, and deploying production-grade AI systems, particularly LLMs and agentic AI, for clinical development and operations within a regulated healthcare environment. It involves developing predictive models, engineering robust ML pipelines, and implementing agentic solutions, with a strong emphasis on MLOps and cloud deployment.

Seeking a Postdoctoral Fellow to apply foundation models and machine learning to integrate multi-omics data for predictive toxicology in drug safety research. The role involves benchmarking models, developing AI pipelines, and identifying novel biomarkers to predict human toxicity from preclinical data, with a focus on generating peer-reviewed publications and potentially open-source tools.

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.