Los Angeles, California
West Roxbury, Massachusetts
Tulsa, Oklahoma
Birmingham, Alabama
Posted: 14-Apr-26
Location: Los Angeles, California
Categories:
Internal Number: 151776185
The team is in charge of Compute and Data Infrastructure for clinical and research analytics use cases, which include High-Performance Computing (HPC), Artificial Intelligence, (AI), Machine Learning (ML), etc. The team is comprised of Application Developer, Architects, and Engineers. The team is responsible for the core foundational Cloud platforms and Evaluating technology concepts, Architecting Solutions, Build Environments, Developing APIs, and applications, and also developing integrated solutions for the vast clinical and research use cases and initiatives.
Potential Projects:
- High-Performance Computing (HPC)
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Trusted research environment (ULEAD)
- Currently pursuing an undergraduate degree in Computer Science, Data Science, Engineering, or a related field
- Strong interest in cloud computing, data infrastructure, or technologies such as high‑performance computing (HPC), artificial intelligence (AI), or machine learning (ML)
- Basic familiarity with at least one programming or scripting language (e.g., Python, Java, C++), gained through coursework or personal projects
- Comfortable working in technical computing environments, including learning new tools and using Windows and/or Linux systems
- Willingness to learn, ask questions, and follow guidance from engineers and architects
- Ability to collaborate effectively, communicate clearly, and contribute to team‑based projects
