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.

Additional information

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

Compensation Overview

Princeton - NJ - US: $94,180 - $114,124

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully - carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans - including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

• U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
• Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

How We Work

• Where you work matters - because collaboration, innovation and patient impact happen in many settings.
• Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design.
• The model assigned to this role is based on its core responsibilities.

Data Protection

• We will never request payments, financial information, or social security numbers during our application or recruitment process.
• Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

• If this posting is missing required information required by local law or incorrect, contact BMS at with the Job Title and Requisition number.
• Do not send application-related inquiries to this email.
• To check your application status, please login to your Candidate Home Account.

R1607245: Open-Source Technology Lead