Clinical Data Science Intern

Summary: Kestra Medical Technologies, Inc. is a company focused on integrating wearable technologies with cardiac medical devices. They are seeking a Clinical Data Science Intern to support the clinical team with analysis of clinical data, including data cleaning and statistical analysis using tools like R and Python. Responsibilities: - Clean and prepare clinical research datasets for analysis - Analyze medical history and Wearable Cardioverter Defibrillator performance data - Conduct statistical analysis using R and/or Python - Create visualizations to communicate findings - Project Presentation: Present internship results and findings to the Clinical Marketing team and Kestra executive leadership at the conclusion of the internship Required Qualifications: - 3rd year or higher undergraduate in Data Science, Statistics or related field - Familiarity with data cleaning and exploratory data analysis - Basic understanding of statistics - Ability to work with structured datasets and communicate analytical findings clearly - Strong attention to detail and curiosity about data - Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past 6 months - Must not have completed one year of continual employment with Kestra Medical Technologies - Must be at least 18 years of age - Must possess unrestricted work authorization - Must complete a criminal and employment background screening that meets the allowable FDA requirements and is in accordance with EEOC rules and regulations - Must complete a pre-internship drug screen Preferred Qualifications: - Experience with R or Python - Interest in healthcare, clinical, or medical device Required Skills: Data cleaning, Exploratory data analysis, Statistical analysis, R, Python, Clinical data analysis, Medical device data, Curiosity about data Benefits: This role is an in-office position Monday - Thursday, in Kirkland, Washington with the flexibility to work from home on Fridays.