The Institute for Disease Modeling is looking to develop, use, and share computational modeling tools to support global efforts to eradicate infectious diseases and better understand gender vulnerability.
Requirements
- Proven experience in full stack development, including backend APIs and modern frontend frameworks (e.g. React, Shiny, Streamlit).
- Hands-on experience with Azure cloud services, particularly Azure Databricks, Data Lake Gen2, Azure Data Factory, and Azure Functions.
- Proficiency in one or more backend languages (Python, R, TypeScript, Node.js)
- Hands-on experience with data pipelines, ETL/ELT processes, Analytics and MLOps workflows and integration of cloud data services and data stores.
- Experience with data modeling, knowledge graphs, and information architecture
- Familiarity with software and data security, secure system architectures, IAM, and API lifecycle management
- Knowledge of LLMs, MLLMs.
Responsibilities
- Design and build full-stack web applications and data tools using HTML/JS/CSS and frameworks such as Shiny, Streamlit, or Gradio plus backend services.
- Architect, implement and maintain scalable APIs (REST/GraphQL), data services and data interfaces to support ingestion by statistical and AI models, interactive applications and data pipelines.
- Implement components aligned with data fabric architectures to enable real-time, federated access to distributed datasets for data discovery, modeling, geospatial visualizations and analytics dashboards.
- Develop data pipelines and workflows leveraging Azure Databricks, Data Lake Gen2, Synapse Analytics, and Data Factory.
- Analyses and modeling in support of global health research applying data mining techniques to extract novel datasets for gender-specific vulnerabilities and population dynamics.
- Contribute to the architecture of reusable components for distributed data access, metadata, and governance while advocating for best practices in data integration, governance and web services design.
- Collaborate with researchers, analysts, data scientists to design and implement domain-driven data products for geospatial analyses related to public health
Other
- Must be able to legally work in the country where this position is located without visa sponsorship.
- Background check required as part of the hiring process.
- Ability to work in a collaborative, mission-driven team environment.
