This organization is advancing the future of healthcare through the power of AI, data, and computational sciences. Its mission is to build modernized and interconnected computational and data ecosystems that accelerate scientific breakthroughs and enable researchers to deliver impact at scale.
Requirements
- Strong full-stack engineering experience, including frontend (JavaScript/modern libraries) and backend (Python, Java, or similar).
- Proven experience with cloud-native architectures (ideally AWS), modern databases (SQL/NoSQL), and API development (REST, GraphQL).
- Expertise in building scalable, secure, high-performance applications and data solutions.
- Experience with modern DevOps practices, CI/CD, testing, and production deployment automation.
Responsibilities
- Build robust and scalable software solutions that support scientific research and accelerate discovery and development.
- Develop and maintain cloud-native data pipelines, services, and applications using modern software engineering best practices.
- Design software architectures leveraging microservices, event-driven systems, and AI-powered development tools.
- Integrate diverse data sources to enable ML/AI workflows, search, and analytics.
- Champion modern engineering principles - Open Source, Cloud First, API First, and AI First - across the organization.
Other
- Hybrid - 3 days onsite
- Relocation available
- Competitive compensation + benefits
- Collaborate with product and scientific teams to translate complex research challenges into technical solutions.
- Commitment to technical excellence, strategic thinking, and reducing technical debt.
- Strong communication and collaboration skills.
- Sponsorship is not available for this role, and C2C arrangements will not be considered.
