Senior Manager, Artificial Intelligence Data Engineer

Regeneron

Remote

Quick summary

Work type
Remote
Location
Armonk, NY · Warren, NJ
Salary
$150,500–$245,500 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $198k
$138k most similar roles pay here $263k

This role pays less than 58% of similar roles. Most pay $163,031–$246,150 — the shaded band above. At the midpoint, this role pays about $198k versus about $205k 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 · Senior Manager, Artificial Intelligence Data Engineer

As a Senior Data Engineer at Global Development's Digital Transformation team, you will play a pivotal role in modernizing clinical data infrastructure by developing and optimizing schema and data models to ensure compliance and interoperability with other platforms. You will contribute to data governance strategy, develop tools for monitoring and improving data quality, and automate routine workflows. This technical leadership position involves working closely with engineers, analysts, and scientists to design end-to-end data architectures that support diverse needs, facilitate the implementation of modern data platforms like Snowflake or Databricks, and optimize performance while adhering to regulatory frameworks such as HIPAA and GDPR. The ideal candidate has an advanced degree in a relevant field along with extensive experience in designing clinical data infrastructure, proficiency in cloud architecture and DevOps practices, and expertise in programming languages including Python and SQL.

What you'll do

  • Develop and optimize schema and data models for clinical data ensuring compliance and interoperability.
  • Design end-to-end data architectures to support diverse analytic, operational, and research needs.
  • Implement modern data platforms like Snowflake or Databricks to enhance data processing capabilities.
  • Monitor and improve internal and external data quality through the development of monitoring pipelines.
  • Provide technical leadership and mentorship while staying current with innovations in data engineering.
  • Identify opportunities for automation and implement solutions to streamline routine workflows.
  • Facilitate the implementation of a modern data platform, ensuring seamless integration across systems.

What we're looking for

  • Minimum 5 years of experience in data engineering solutions for life sciences or healthcare.
  • Expertise in designing and maintaining clinical/biomedical data infrastructure.
  • Proficiency with modern data platforms (e.g., Snowflake, Databricks) and programming languages like Python, SQL.
  • Experience building and scaling data pipelines for structured and unstructured data.
  • Deep understanding of regulatory frameworks (HIPAA, GDPR) and clinical data standards (CDISC, HL7).
  • Knowledge of machine learning pipeline integration with clinical data platforms.
  • Proficiency in cloud architecture and DevOps practices.

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