Stanford Health Care is looking to build solutions incorporating Artificial Intelligence to provide healthcare solutions in patient care, medical research, and administrative services, and to deploy algorithms that can lead to better patient outcomes.
Requirements
- 2+ years’ experience in building data infrastructure for analytics teams, including ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments
- Experience with cloud deployment strategies and CI/CD
- Experience building and working with data infrastructure in a SaaS environment
- Knowledge of multiple programming languages, commitment to choosing languages based on project-specific requirements, and willingness to learn new programming languages as necessary.
- Knowledge of resource management and automation approaches such as workflow runners.
- Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments
- Experience with distributed cloud environments
Responsibilities
- Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team and others at SHC.
- Understand the requirements of data processing and analysis pipelines and make appropriate technical design and interface decisions.
- Understand data flows among the SHC applications and use this knowledge to make recommendations and design decisions for languages, tools, and platforms used in software and data projects.
- Troubleshoot and debug environment and infrastructure problems found in production and non-production environments for projects by the Data Science Team.
- Work with other groups at SHC and the Technology and Digital Solutions (TDS) group to ensure servers and system maintenance based on updates, system requirements, data usage, and security requirements
- Design, implement, and support data processing software and infrastructure.
- Maintain compute frameworks, analysis tooling, and/or model implementations used or created by the team.
Other
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related, or equivalent working experience
- 2+ years of experience
- Collaborative mentality and excitement for iterative design working closely with the Data Science team.
- Commitment to C-I-CARE standards for all of patients, families and towards each other
- Ability to work in a fast-paced environment and adapt to changing priorities
