About the Role
Lead engineering efforts to build and scale AI-powered tools that support population health initiatives, manage a team of engineers, and collaborate across disciplines to deliver impactful healthcare technology.
Responsibilities
- Lead and mentor a team of software engineers working on health data systems
- Drive architecture and technical direction for AI and machine learning platforms
- Collaborate with product and clinical teams to define roadmap priorities
- Ensure delivery of reliable, secure, and compliant software solutions
- Oversee engineering practices including code quality, testing, and deployment
- Guide the development of scalable data pipelines for population-level health analysis
- Foster a culture of innovation, accountability, and continuous improvement
- Manage project timelines and resource allocation across engineering initiatives
- Work closely with data scientists to integrate predictive models into production
- Support compliance with healthcare data standards and privacy regulations
- Evaluate new technologies and frameworks for potential adoption
- Promote cross-functional collaboration between engineering, design, and research
- Champion best practices in software engineering and system reliability
- Identify and mitigate technical risks in complex healthcare systems
- Contribute to strategic planning for long-term product scalability
Nice to Have
- Master’s degree in computer science or related field
- Experience in digital health or clinical technology domains
- Prior work with real-world health data at scale
- Leadership in AI-driven product development
- Knowledge of natural language processing in clinical contexts
- Experience with containerized environments and Kubernetes
- Familiarity with observability and monitoring tools
- Track record of optimizing system performance under load
- Contributions to open-source healthcare software projects
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid remote with flexibility for remote work
Team
Part of a growing engineering team focused on health technology innovation
About the Role
This position leads engineering for AI-powered population health tools that analyze real-world data to improve care delivery and patient outcomes.
Impact
Your work will directly influence how healthcare providers use data to identify at-risk populations and deliver proactive interventions.
Technology Stack
The team uses Python, TensorFlow, Apache Beam, Google Cloud Platform, and modern MLOps tooling to build and deploy models at scale.
Culture
We value transparency, technical excellence, and a deep commitment to improving health equity through responsible innovation.
Growth Opportunities
This role offers leadership exposure across technical, product, and clinical domains with room to shape future engineering direction.
Available for qualified candidates
