Open-Source Technology Lead Princeton NJ

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Working with Us
Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here uniquely interesting work happens every day in every department. From optimizing a production line to the latest breakthroughs in cell therapy this is work that transforms the lives of patients and the careers of those who do it. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits services and programs that provide our employees with the resources to pursue their goals both at work and in their personal lives.
Key Responsibilities:

Own container management for open source multilingual and data-quality tooling building hardening and maintaining Docker/Kubernetes images and deployment pipelines used by BI&T and Data and Quantitative Sciences (DQS) teams.
Design and operate container orchestration and registry strategy (build scan sign version and promote images) to ensure secure reproducible environments for open source components.
Lead open source package management across the BI&T and DQS technology stack evaluating onboarding versioning and retiring R and Python packages/libraries in a controlled auditable manner.
Establish and maintain internal package repositories/mirrors (e.g. CRAN/Posit Package Manager PyPI mirrors Artifactory/Nexus) to manage dependencies licensing and version drift at scale.
Drive open source compliance license scanning vulnerability management SBOM generation and policy enforcement partnering with Legal IT Security and Open Source Governance stakeholders.
Define and enforce open source intake approval and risk-assessment processes so new packages and containers meet BMS security licensing and quality standards before adoption.
Apply deep technical expertise in R and Python to design build and optimize production-quality code libraries and tooling supporting multilingual data processing validation and quality-control workflows.
Contribute code documentation and improvements upstream to relevant open source projects building BMSs presence within the open source ecosystem.
Partner directly with DQS engineering and data teams to embed containerized compliant open source tooling into multilingual data quality pipelines and automation.
Track the open source landscape for emerging multilingual NLP container and package-management technologies and recommend adoption where it advances DQS priorities.
Represent BMS within Pharmaverse PHUSE and other relevant open source life sciences communities engaging with working groups contributing to community initiatives and bringing external best practices back into DQS.
Mentor engineers and analysts on container best practices open source package management and compliance-by-design principles.