Role OverviewThe Open-Source Technology Lead will own container management for open source multilingual and data-quality tooling, design and operate container orchestration and registry strategy, and lead open source package management across the BI&T and DQS technology stack.
What You Will Do
The successful candidate will be responsible for building, hardening, and maintaining Docker/Kubernetes images and deployment pipelines, evaluating and onboarding new R and Python packages/libraries, and establishing and maintaining internal package repositories/mirrors.
Why It Might Be a Fit
The ideal candidate will have deep technical expertise in R and Python, experience with container management and open source package management, and strong communication and collaboration skills.
Requirements
- 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
- 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
Benefits
- Health Coverage: Medical, pharmacy, dental, and vision care
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP)
- Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support
- Paid Time Off
- Flexible time off (unlimited, with manager approval)
- 11 paid national holidays
- 160 hours annual paid vacation for new hires with manager approval
- 11 national holidays
- 3 optional holidays
- Unlimited paid sick time
- Up to 2 paid volunteer days per year
- Summer hours flexibility
- Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
- Annual Global Shutdown between Christmas and New Years Day
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