Open-Source Technology Lead

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 BMS's 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.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, Computational Linguistics, or a related field.
• 5+ years of hands-on software engineering experience, including direct work with open source technologies and communities.
• Requires deep, hands-on technical expertise in both R and Python, including package/library development and dependency management in each.
• Strong, demonstrated experience with container management — Docker, Kubernetes, image build/scan/sign pipelines, and container registries — in production environments.
• Proven experience with open source package management tooling and workflows (e.g., CRAN/Posit Package Manager, PyPI/conda/pip, Artifactory, Nexus, JFrog).
• Solid working knowledge of open source compliance practices — license management (e.g., GPL, MIT, Apache), vulnerability/SBOM scanning, and governance frameworks.
• Demonstrated experience with multilingual/NLP technologies, localization tooling, or text-processing frameworks (e.g., spaCy, Hugging Face, ICU, Apache OpenNLP) is a plus.
• Knowledge of Pharmaverse and an active presence in PHUSE or other open source life sciences communities is a plus.
• Experience with cloud platforms (AWS, Azure, or GCP) supporting containerized and open source workloads.
• Solid understanding of data quality, data governance, and data management concepts.
• Strong communication, collaboration, and stakeholder engagement skills.
• Ability to work independently and collaboratively in fast-paced, Agile environments.
• Prior exposure to Life Sciences Research & Development is a plus.
• Active contributor or maintainer on recognized open source projects is a plus.