Intern - Applied AI & Data Science

ARUP Laboratories Career•Salt Lake City, UT

7d•Onsite

About The Position

The Applied AI & Data Science Intern will be utilized in various departments. ARUP's culture is one of caring for both the patient and its employees. Projects that fit the skills and goals of the intern will be identified at the beginning of the internship, but will likely include exploratory data analysis, training machine learning or deep learning algorithms, or developing AI agents. The intern will work closely with a senior data scientist mentor, and will attend weekly meetings and standups. At the end of the internship, the final product or analysis will be presented to other data scientists, medical directors, and scientists from across the company.

Requirements

Proficiency with Python data analysis tools
Refined data visualization skills
Familiarity with development of AI (LLM-based) agents
Basic concepts of laboratory information science
Agentic Workflows
Data Science in Laboratory Medicine
LLM validation and QC
Basics of genomics, hematopathology, and/or digital pathology
Data visualization and written communication of scientific concepts
Ability to communicate frequently and effectively with others
Conduct self in compliance with all ARUP Policies and Procedures
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: Occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.

Nice To Haves

Experience in digital pathology, flow cytometry, next generation sequencing, and clinical lab informatics is overseen by the supervisor.

Responsibilities

Exploratory data analysis
Training machine learning or deep learning algorithms
Developing AI agents
Presenting final product or analysis to data scientists, medical directors, and scientists