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General Information

Work Location: Los Angeles, CA, USA
Onsite or Remote
Flexible Hybrid
Work Schedule
Monday-Friday 8 A.M. -5 P.M
Posted Date
04/13/2026
Salary Range: $17.9 - 47 Hourly
Employment Type
5 - Student: Casual/Restricted
Duration
10 Weeks
Job #
29679

Primary Duties and Responsibilities

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)

Job Qualifications

  • 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

As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.