[Remote] Senior Manager, Artificial Intelligence Data Engineer

Note: The job is a remote job and is open to candidates in USA. Regeneron Pharmaceuticals, Inc is embarking on a Digital Transformation project that incorporates AI, machine learning, and automation to enhance clinical data infrastructure. The Senior Manager will develop and optimize data models, contribute to data governance, and lead technical initiatives to improve data quality and interoperability.

Responsibilities

• Work with a cross-functional team to optimize and implement our data strategy with a focus on optimization for digital transformation and the use of AI/ML
• Design and document end-to-end data architectures that support diverse analytic, operational, and research needs
• Facilitate the implementation of a modern data platform (e.g. Snowflake, Databricks, etc.)
• 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 (i.e., from CRO partners) data quality
• Work with informatics and AI engineers optimizing the utility of data for their respective pipelines
• Monitor 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

Skills

• 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
• Experience building, scaling, and maintaining pipelines for structured and unstructured data
• 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
• May require travel up to 20%

Benefits

• 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
• Family support benefits
• W2 option
• Reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process

Company Overview

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