Top AI & Machine Learning Jobs

Leads Pfizer’s US Commercial AI portfolio governance, value realization, and operating model. Establishes federated build standards, intake processes, shared registries, controls, prioritization frameworks, and responsible AI requirements. Partners with executive stakeholders across technology, data, legal, privacy, compliance, and security to assess platforms, manage dependencies, guide investment decisions, and scale agentic AI. Builds and leads a cross-functional team while embedding AI-first practices across Commercial and the Chief Marketing Office.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

Build, prototype, evaluate, deploy, and improve agentic AI products for Pfizer’s regulated manufacturing network. Own agent backlogs, user discovery, experimentation, adoption, success metrics, governance, responsible AI, monitoring, and lifecycle operations. Partner with engineers, data scientists, manufacturing SMEs, Quality, Cybersecurity, and business stakeholders to convert manufacturing knowledge and user needs into production-grade intelligent agents that improve productivity, decision-making, and operational performance.

Design and analyze clinical trials ensuring compliance with regulations, provide statistical guidance, and collaborate with teams for effective drug development.

Lead the design of biotherapeutics using AI/ML methods. Collaborate with teams to implement workflows, optimize antibody engineering, and analyze large biological datasets.

Leads hands-on data science and commercial analytics projects for Pfizer’s North America organization. Develops statistical analyses, data mining models, experiments, and advanced analytical solutions using large datasets to address marketing, sales, and customer insights questions. Partners with senior stakeholders and cross-functional teams to support data-driven decisions, while applying rigorous experimental design and communicating results effectively. The role requires substantial coding in Python, R, and SQL, with meaningful contributions to analytics and experimental work beyond people management.

Lead global technical delivery of AI, data engineering, analytics, and automation for clinical supply. Architect, prototype, and operationalize scalable, secure AI/ML and generative AI solutions (including RAG and agents), establish engineering standards and MLOps practices, and guide cross-functional teams to deliver measurable business value in regulated environments.

Lead architecture and technology strategy for ELT-level AI programs: define target and reference architectures, align to enterprise platforms, ensure security, reliability, and governance, advise senior stakeholders, mentor engineering teams, and drive reusable, scalable AI solutions that deliver measurable business outcomes.

The Senior Computational Chemist will lead cheminformatics efforts, design data pipelines, apply machine learning models to drug discovery, and collaborate across teams.