FAQs
Is this internship position remote?
Yes, this role is scheduled to be 100% remote.
In which states can I reside to be eligible for this internship?
Finalists must reside in one of the following states to be eligible for employment: CA, OR, WA, HI, CO, GA, MD, VA, CT, DC, or IL.
What department is this internship under?
This internship is under the Innovation and AI Simulation of Hospital and Optimization department.
What kind of projects can I expect to work on during the internship?
Interns will work on AI/ML use-cases for forecasting and LLM (Large Language Models).
What are the target majors for this internship?
The target majors include Computer Science, Math, Statistics, Healthcare Administration, and Data Science.
What technical skills are required for this internship?
The required skills include Python, SQL, and LLM, as well as attention to detail and the ability to work independently with light supervision.
Is prior work experience necessary for this internship?
No prior experience is required.
What educational qualifications are needed for this internship?
Candidates must be pursuing a graduate degree or have completed a graduate program from an accredited university within the last year, and a bachelor's degree is required.
What software skills are required for this internship?
A working knowledge of MS Word, Excel, and PowerPoint is required.
What GPA is preferred for candidates applying for this internship?
A GPA of 3.0 or above is preferred.
Will I have the opportunity to learn new applications during the internship?
Yes, interns will have the opportunity to learn new applications needed to complete assignments and support business objectives.
What kind of work schedule is expected for this internship?
The work schedule is full-time, Monday through Friday, from 8:00 AM to 5:00 PM.
Is travel required for this internship?
No, travel is not required for this position.
Does Kaiser Permanente have a commitment to diversity and inclusion?
Yes, Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce.