- Lead Molecular Dynamics (MD) and data-driven modeling initiatives within GH&B-GTEL SID Predictive Sciences, integrating physics-based simulations, machine learning, and digital workflows across Digital Design, Digital Lab, Digital Manufacturing, and Data Core platforms.
- Partner with Pfizer scientists to build mechanistic understanding of molecular interactions, material properties, stability, and formulation behavior across SI dosage forms, applying MD, data models, and AI/ML to support formulation design, optimization, and troubleshooting.
- Integrate simulation outputs with data engineering frameworks, including trajectory data, feature extraction pipelines, scalable data models, vector databases, and embeddings for molecular similarity, knowledge retrieval, and decision support.
- Collaborate with Sterile Injectable Design teams across development stages to apply molecular insights and AI-driven applications to formulation selection, process design, stability risk assessment, and technology transfer, while communicating technical and business risks to senior management.
- Apply Generative AI (GenAI) to automate simulation setup, analyze MD outputs, generate reports, and extract insights from scientific literature to accelerate and improve decision-making.
- Partner with global colleagues and digital leaders to drive adoption of MD, AI/ML, and GenAI-enabled tools in SI product development, advancing digital-first and model-informed workflows.
- Lead development and deployment of advanced simulation and ML capabilities, including automated pipelines, hybrid models, and scalable HPC/cloud workflows, and present outcomes through reports, visualizations, and internal and external presentations.
- Collaborate with external partners, including academia, research organizations, and software vendors, to deliver advanced modeling, ML, and GenAI initiatives aligned with organizational priorities.
- Define short- and long-term objectives for MD, ML, and GenAI initiatives within assigned projects, aligned with SID digital transformation goals and portfolio needs.
- Establish frameworks to expand adoption of molecular modeling, AI/ML, and GenAI across sterile injectables workflows, partnering with leadership to secure resources and integrate digital accelerators across end-to-end product development.
Work Location Assignment: On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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.
Research and Development
