Regeneron

Healthcare

SeniorManager,ArtificialIntelligenceDataEngineer

$151–246k Armonk, New York, United States; Warren, New Jersey, United States; United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Senior Manager, Artificial Intelligence Data Engineer at Regeneron. Skills: Data engineering, AI/ML, Data architecture, Data platforms. Optimize data strategy. Implement data strategy”

Industry & Context.

Healthcare
Eligibility Requirements

20% travel

What They're Looking For.

Must Have

5+ years data engineering, 5+ years leading implementation, Expertise in clinical data infrastructure, Expertise in modern data platforms, Proficiency in Python, Proficiency in SQL, Proficiency in R, Maintain code repositories, Proficiency in cloud architecture, Proficiency in DevOps practices, Experience building data pipelines, Experience scaling data pipelines, Experience maintaining data pipelines, Integrate pipelines across enterprise, Deep understanding of regulatory frameworks, Deep understanding of clinical data standards

Nice to Have

Advanced degree in computer science, Advanced degree in statistics, Advanced degree in biomedical informatics, PhD + 2 years experience, MS + 4 years experience, Recognized certifications, Knowledge of machine learning pipelines

What You'll Do.

Optimize data strategy

Implement data strategy

Design data architectures

Document data architectures

Facilitate data platform implementation

Identify opportunities for interoperability

Implement solutions for interoperability

Develop data quality pipelines

Implement data quality pipelines

Optimize data utility

Monitor platform performance

Optimize platform performance

Develop critical metrics

Implement critical metrics

Evaluate advances for adoption

How You'll Work.

Team & Collaboration

Cross-functional team; AI engineers; Informatics engineers

Full Job Description

**Build our future together:** Global Development is embarking on a Digital Transformation project incorporating AI, machine learning, and automation to help us reduce cycle times, improve quality allowing us to focus on more meaningful work. We focus on developing and improving data pipelines, infrastructure, architecture, and analytic tools to allow resources to fuel our transformation. Working with a team of engineers, analysts, and scientists, you will contribute to modernizing our clinical data infrastructure. This highly visible role will be a technical and strategic liaison between the transformation projects and IT. A key responsibility will be developing and optimizing schema and data models for clinical data. We ensure that those products are standard compliant and interoperable with other platforms and data sources. This role will also contribute to data governance strategy and to the development and management of tools improving and monitoring data quality. The data engineer will also develop processes to automate routine workflows. The engineer will also provide technical leadership and mentorship and will stay current with innovations in data engineering so that they may be evaluated for implementation. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide. **When & where:** This can be a remote position in the US or on-site position at our Armonk, NY or Warren, NJ offices. **Discover your role:** • 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

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