Director, AI Engineering--Clinical Development and Operations (CD&O)

Pfizer

Hybrid

Quick summary

Work type
Hybrid
Location
NY
Salary
$176,600–$294,300 / yr
Posted
25 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $235k
$162k most similar roles pay here $308k

This role pays more than 55% of similar roles. Most pay $191,162–$253,668 — the shaded band above. At the midpoint, this role pays about $235k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Pfizer

Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals

Pfizer currently has 24 open roles on FindRole.

Listed pay typically runs $131,750–$219,650 across 24 roles with salary data.

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View all roles at Pfizer

At a glance

TL;DR · Director, AI Engineering--Clinical Development and Operations (CD&O)

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As a Senior AI Engineer on Pfizer’s Clinical Development & Operations team, you will design and deploy production-grade AI systems that enhance enterprise-scale capabilities in clinical trials. Your day-to-day involves developing and implementing AI/ML models for process-heavy workflows such as protocol feasibility and site selection, automating manual tasks to improve efficiency, and creating predictive analytics tools for operational planning. You will work with Python and libraries like TensorFlow, PyTorch, and Scikit-learn to build robust ML pipelines, ensuring they are scalable and adhere to data integrity standards. Additionally, you will collaborate closely with scientists and other stakeholders to translate complex needs into practical technical solutions, driving the adoption of AI across Pfizer’s clinical operations. This role requires a PhD or Master’s degree in a relevant field along with extensive experience in applying LLMs and generative AI to real-world problems within regulated environments.

Skills

Python TensorFlow PyTorch Keras Scikit-learn LLMs RAG LangChain Vertex AI Java JavaScript TypeScript React FastAPI PostgreSQL Snowflake S3 BigQuery Neo4j Git Docker CI/CD AWS GCP Azure MLOps

What you'll do

  • Develop and deploy AI/ML models to support process-heavy workflows in clinical development.
  • Strengthen operational decision-making by creating predictive models and decision-support tools.
  • Implement production-grade AI systems aligned with data integrity standards and governance practices.
  • Engineer robust ML pipelines focusing on reproducibility, scalability, and seamless cloud integration.
  • Partner closely with CD&O teams to ensure AI solutions are trusted and adopted in daily work.
  • Translate ambiguous needs into technical solutions through strong collaboration and communication skills.

What we're looking for

  • PhD or Master’s degree with relevant years of experience in AI/ML applications.
  • Strong hands-on experience applying LLMs and generative AI to real-world workflows.
  • Expertise in building practical, reusable ML/DL workflows using Python and modern tooling.
  • Sound judgment on methodological rigor and the role of human oversight in AI workflows.
  • Experience collaborating with domain users to translate needs into technical solutions effectively.
  • Proficiency in cloud platforms (AWS/GCP/Azure) for reproducible MLOps practices.
  • Technical skills in Java, JavaScript/TypeScript, React, FastAPI, SQL/PostgreSQL, and enterprise data systems.

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