Senior Manager, Artificial Intelligence Data Engineer

About the role

Global Development is embarking on a Digital Transformation project incorporating AI, machine learning, and automation to help reduce cycle times, improve quality, and allow resources to focus on more meaningful work. You will contribute to modernizing our clinical data infrastructure.

Responsibilities

• Develop and optimize schema and data models for clinical data to ensure standard compliance and interoperability with other platforms and data sources.
• Facilitate the implementation of a modern data platform (e.g., Snowflake, Databricks, etc.) to support diverse analytic, operational, and research needs.
• Identify opportunities and implement solutions to increase data interoperability and standardization among systems and across other business units.
• Develop and implement pipelines to monitor and improve both internal and external data quality.
• Work with informatics and AI engineers to optimize the utility of data for their respective pipelines.
• Maintain and optimize the performance of data architectures and platforms.
• Develop or implement critical metrics to measure the impact of the overall data strategy.
• Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption.

Requirements

• An advanced degree in computer science, statistics, biomedical informatics, or a related field is preferred (PhD + 2 years of experience or an MS + 4 years of relevant experience).
• A minimum of 5 years experience developing and leading the implementation of data engineering solutions, including accountability for the success of the implementation, in life sciences or healthcare.
• Demonstrated expertise in designing and maintaining infrastructure and architecture for clinical or biomedical data in a healthcare or life sciences setting.
• Expertise in modern data platforms (e.g., Snowflake, Redshift, BigQuery, Databricks) and programming languages such as Python, SQL, R, etc.
• Maintain and manage code repositories (e.g Bitbucket) ensuring clean, well-documented code with proper version control.
• Proficiency in cloud architecture (e.g. AWS, Azure, GCP) and DevOps practices. Recognized certifications are a plus.
• Experience building, scaling, and maintaining pipelines for structured and unstructured data. Ability to integrate pipelines across the enterprise is essential.
• Deep understanding of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR).
• Knowledge of machine learning pipelines and integration with clinical data platforms.

Qualifications

• May require travel up to 20%.

Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Experience with data modeling and database design.
• Knowledge of data governance and compliance.
• Experience with cloud computing and DevOps practices.
• Understanding of clinical data standards and regulations.
• Experience with machine learning and AI integration.

Benefits

Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit here.

Pay

$150,500.00 - $245,500.00 annually

Schedule

This can be a remote position in the US or on-site position at our Armonk, NY or Warren, NJ offices.