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Senior Manager, Artificial Intelligence Data EngineerRegeneron Pharmaceuticals • New York, New York, United States
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Senior Manager, Artificial Intelligence Data Engineer

Regeneron Pharmaceuticals
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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À propos

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 an 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 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
This role requires:
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%.
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.
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 see https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process.
Salary ranges for roles in all countries in which we operate are disclosed. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits.
Please be advised that at Regeneron, we believe we do our best work when we are together. 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. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually) $150,500.00 - $245,500.00
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  • New York, New York, United States

Compétences linguistiques

  • English
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