Director, AI Engineering (Global Development)

Regeneron

Quick summary

Work type
On-site
Location
Tarrytown
Salary
$205,000–$341,600 / yr
Posted
40 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $273k
$156k most similar roles pay here $362k

This role pays more than 84% of similar roles. Most pay $175,700–$249,490 — the shaded band above. At the midpoint, this role pays about $273k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Regeneron

Regeneron is a leading science-driven biotechnology company that invents, develops, and commercializes life-transforming medicines for serious diseases.

Regeneron currently has 20 open roles on FindRole.

Listed pay typically runs $131,500–$230,200 across 20 roles with salary data.

Most-posted roles

View all roles at Regeneron

At a glance

TL;DR · Director, AI Engineering (Global Development)

The Director, AI Engineering role within the Global Development team at a leading multinational organization seeks an experienced professional to drive digital transformation through AI and machine learning. This senior leader will provide strategic direction and technical oversight for developing scalable AI solutions in areas like clinical trial design and regulatory intelligence, while also refining data engineering strategies and collaborating with IT teams to build advanced analytics infrastructure. Key responsibilities include empowering colleagues to leverage AI effectively, establishing robust validation frameworks, and staying abreast of emerging technologies. Ideal candidates possess a PhD or extensive industry experience, expertise in Python, R, database platforms, and cloud computing, along with a proven track record in managing large-scale clinical datasets and cross-functional teams within the healthcare sector.

What you'll do

  • Provide strategic direction for AI/ML solutions tailored to clinical trial design and patient identification.
  • Architect data engineering strategies to integrate diverse data sources for advanced analytics.
  • Evaluate and implement use cases for automating manual processes using AI in the enterprise.
  • Lead initiatives to build infrastructure supporting advanced analytics, including vendor evaluation.
  • Establish robust validation frameworks for AI models to ensure reliability and efficiency.

What we're looking for

  • PhD or Master's/Bachelor's with extensive experience in AI/ML and software engineering
  • Deep expertise in generative AI, machine learning, NLP, and statistical modeling
  • Proficiency in Python/R for data analysis, automation, and software development
  • Expertise in database platforms and cloud computing infrastructure
  • Experience managing large-scale clinical datasets and cross-functional teams
  • Track record of developing, implementing, maintaining, and evaluating AI models in healthcare
  • Strong communication skills with experience presenting to senior leadership

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