Pfizer
Pharma · Pharma
- HQ
- New York City, US
- Founded
- 1849
- Size
- 75,000+
- Website
- pfizer.com
Pfizer has 19 active AI-related job listings. The majority of these roles are focused on agents, accounting for 32% of the openings, followed by data roles at 26%. Engineering is the most frequent function, with 14 positions. The company is actively hiring for roles involving agent orchestration, model serving, and RAG. Over the last 30 days, Pfizer posted 45 new AI roles.
Currently tracking 10 active AI roles, down 74% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$358k (avg $176k).
Pfizer currently has 21 active AI-related roles in our index. The most common open titles are: Clinical Development Scientist, Director (Inflammation and Immunology) (2), AI Data Engineer--LLMs / Agentic Systems, AI/ML Engineer - Vaccine Research, Director of AI Engineering – Vaccine R&D Operations Enablement, Director, AI Change Adoption. Most positions are in Engineering and Product.
Pfizer's active AI hiring is concentrated in: application (48%), post-training (29%), agents (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Pfizer is hiring AI talent in: United States (17 roles), India (1 role), Greece (1 role), France (1 role).
Job postings at Pfizer most frequently reference: fine tuning, model serving, agent orchestration, llm observability, rag.
In the past 30 days, Pfizer has posted 24 new AI-related roles. That is a -47% change versus the prior 30 days (45 → 24).
Pharma · Pharma
| Title | Stage | AI score |
|---|---|---|
| Postdoctoral Fellow, AI/ML Applications for Vaccine This role focuses on developing and validating AI/ML models for vaccine strain selection, specifically using deep learning on viral sequences and integrating various biological data sources. The goal is to predict and evaluate prospective vaccine strains. | Post-train | 8 |
| Principal ML/AI Cheminformatics Scientist Principal ML/AI Cheminformatics Scientist at Pfizer applying data-driven approaches to drug discovery, developing and deploying machine learning models for molecular property prediction and ADME properties. Collaborates with cross-functional teams to integrate AI into discovery workflows. | Post-train | 8 |
| Senior Scientist, Computational Biotherapeutics Engineering Senior Scientist role at Pfizer focused on computational AI/ML methods for biotherapeutics discovery and engineering. The role involves implementing, evaluating, and applying AI/ML models for protein modeling, representation learning, and generative design, with a focus on antibody developability and optimization. Requires expertise in Python, ML libraries, and biological datasets, with a strong understanding of protein structure and model evaluation. | Post-train | 8 |
| Director, AI Engineering--Clinical Development and Operations (CD&O) 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. | AgentServe | 8 |
| AI/ML Engineer - Vaccine Research 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. | Post-trainAgent | 8 |
| Postdoctoral Scientist – AI & Machine Learning for Predictive Drug Absorption Pfizer is seeking a Postdoctoral Scientist to develop and evaluate advanced AI/ML models for predicting oral drug absorption and formulation performance. The role involves building end-to-end ML pipelines, focusing on scalability, interpretability, and translating model outputs into actionable insights for drug development. This is a research-focused position within the healthcare domain. | Post-train | 7 |
| Vice President, US Commercial AI Product Lead, AIA The Vice President, US Commercial AI Product Lead at Pfizer will own the AI product roadmap for US Commercial domains, ensuring strategic alignment and delivery of AI-driven solutions. This leadership role involves managing a team of Product Owners, overseeing a budget, and collaborating with various teams to integrate AI solutions. The position requires ensuring adherence to AI standards and delivering measurable business outcomes through AI. The role is focused on shipping AI products to commercial users within the healthcare domain. | Ship | 7 |
| Senior ML/AI Cheminformatics Scientist Senior Cheminformatics Data Scientist at Pfizer applying data-driven approaches to drug discovery, focusing on developing and deploying machine learning models for molecular property prediction and ADMET properties. The role involves processing chemical and biological datasets, utilizing cheminformatics tools, and integrating AI/ML models into discovery workflows. | Post-train | 7 |
| Informatics and AI engineer, Biotherapeutics Pfizer is seeking an Informatics and AI Engineer to build and scale an AI-ready data architecture for biotherapeutics labs. The role involves designing and implementing agentic AI solutions for data structuring, capture, and insight extraction from proprietary and external datasets, supporting drug discovery. Responsibilities include developing data platforms, ML methods, analysis pipelines, and data products, with a focus on LLMs, agentic AI, and RAG systems. | AgentData | 7 |
| Vice President, Commercial AI Transformation & Delivery Vice President, Commercial AI Transformation & Delivery at Pfizer, responsible for the vision, strategy, and delivery of AI across the U.S. commercial organization, focusing on sales, marketing, and medical initiatives. The role requires leading a multi-disciplinary organization and a network of vendors to turn AI ambition into adopted capabilities and business value within a regulated environment. | Ship | 7 |
| Staff Platform Engineer, AI/ML Infrastructure Staff Platform Engineer focused on building and operating the cloud infrastructure for enterprise-scale generative AI applications, including LLM integrations and model routing. Responsibilities include defining technical strategy, architecting scalable AWS platforms, leading CI/CD, and improving observability and security practices. | ServeAgent | 7 |
| AI Data Engineer--LLMs / Agentic Systems 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. | AgentData | 7 |
| Director of AI Engineering – Vaccine R&D Operations Enablement 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. | ShipServe | 7 |
| Sr. Director, US Commercial Product Lead, AIA 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. | Ship | 7 |