AI/ML Research Data Architect for Predictive Modeling

Pfizer; New York (NY); Hybrid; USD 139,000 - 232,000; Full time

Job summary

Pfizer seeks an AI/ML engineering leader to accelerate vaccine discovery by building an AI-ready data ecosystem and scalable research pipelines. You will drive integration of diverse data modalities, orchestrate data flows, and develop knowledge graphs to enable predictive modeling and translational insights.

The role requires senior leadership across data science, bioinformatics, and digital teams, with focus on scalable architectures and responsible AI practices inside a hybrid Pfizer

Qualifications

• PhD or MSc with relevant AI/ML R&D experience in life sciences.
• Proven track record architecting data-intensive AI/ML solutions.
• Experience transforming heterogeneous data into AI-ready ecosystems.
• Strong Python and modern ML framework expertise.

Responsibilities

• Lead AI-Readiness strategy and implement data ecosystems.
• Design data architectures linking diverse datasets across labs.
• Develop automated ingestion, transformation, and orchestration pipelines.
• Build semantic models, metadata standards, and knowledge graphs.
• Mentor scientists in responsible AI and data-centric discovery.
• Align AI initiatives with Pfizer R&D and enterprise platforms.

Skills

Python

PyTorch

TensorFlow

Data architectures

Knowledge graphs

AI/ML pipelines

Interdisciplinary collaboration

Education

PhD in CS / ML / Computational Biology / AI

MS in CS / ML with 4+ years AI/ML R&D

Tools

Python

PyTorch

TensorFlow

Cloud platforms

Knowledge graphs

Job description

Pfizer seeks an AI/ML engineering leader to accelerate vaccine discovery by building an AI-ready data ecosystem and scalable research pipelines. You will drive integration of diverse data modalities, orchestrate data flows, and develop knowledge graphs to enable predictive modeling and translational insights.

The role requires senior leadership across data science, bioinformatics, and digital teams, with focus on scalable architectures and responsible AI practices inside a hybrid Pfizer