Associate Manager, AI Data Engineer

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Data Engineer to join our Advanced Informatics team within Global Development, supporting the modernization of our clinical data infrastructure in a (work model/flexibility). In this role, you will build and improve the data pipelines, architecture, and analytic tools that power our Digital Transformation project, bringing AI, machine learning, and automation to clinical development. You will collaborate with engineers, analysts, scientists, and enterprise IT.
This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.
Travel percentage: Partner with a cross-functional team to shape and implement a data strategy built for digital transformation and AI/ML
• Design and document end-to-end data architectures that support analytic, operational, and research needs
• Develop schema and data models for clinical data that are standards-compliant and interoperable across Regeneron
• Build and scale pipelines that monitor and improve the quality of internal and external (e.g., CRO partner) data
• Work with GD and enterprise IT to implement a modern data platform, serving as a technical point of contact for the project
• Automate routine workflows and monitor and optimize the performance of our data platforms
• Support KPIs that measure the impact of the data strategy
• Mentor junior team members and evaluate emerging data engineering innovations for adoption
Bachelors degree and 6 + years solid experience designing and maintaining infrastructure and architecture for clinical or biomedical data in healthcare or life sciences
• Expertise in modern data platforms (SnowFlake, RedShift, BigQuery, Databricks) and in programming languages such as Python, SQL, and R
• Proficiency in cloud architectures (AWS, Azure, or GCP) and DevOps practices, including version-controlled, well-documented code
• Experience building, scaling, and integrating pipelines for structured and unstructured data across the enterprise
• Strong analytical and problem-solving skills, with attention to detail and an ethos of data quality
• Deep understanding of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR)
• Knowledge of machine learning pipelines and their integration with clinical data platforms
• We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. 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 other locations, additional information will be provided during the recruitment process. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based.