Note: The job is a remote job and is open to candidates in USA. Regeneron Pharmaceuticals, Inc is embarking on a Digital Transformation project incorporating AI, machine learning, and automation. The role involves developing and optimizing data models for clinical data, contributing to data governance strategy, and providing technical leadership in a fast-growing organization focused on improving patient outcomes.
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. 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
- 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
Company Overview
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