Internship: Data Scientist, Health Informatics

Overview

Remote
On Site
Part Time

Skills

Health informatics
SAP BASIS
Cross-functional team
Informatics
Analytics
Health care
Data Science
Software development
Analytical skill
Data mining
Pattern recognition
Clustering
Decision trees
Predictive analytics
Regression analysis
Modeling
Deep learning
Product development
Statistics
Public health
Algorithms
Data
Data engineering
Advanced analytics
Presentations
Visualization

Job Details

Position is used in various departments on an as needed and as approved basis within the region and business. Duties will vary depending on the department and function the position is assigned to. Employees will discuss with their leader the scope and duties of the job once their internship starts.

- Work remotely with a cross-functional team of analysts, medical doctors, business leaders, and IT professionals to develop and deliver informatics and analytics services and solutions utilizing data from varied healthcare related data sources

- Utilize strong data science programming, quantitative and analytical skills to standardize, integrate, analyze, and model large clinical data

- Identify meaningful patterns in diagnostic test results using data mining, pattern recognition techniques (clustering, association rule mining, and decision trees), and predictive analytics (regression modelling, machine and deep learning, neural networks)

- Contribute to product development including visualizations and statistics-based altering systems to enable public health entities and clinicians to better serve their communities.

- Build scaled data engineering algorithms to minimize the need for additional data curation

- Work on end-to-end projects from data engineering, through advanced analytics, to final presentation and visualization

- Other duties as assigned

QUALIFICATIONS

Required Work Experience:

Preferred Work Experience:

Physical and Mental Requirements:

Knowledge:

Skills:

EDUCATION

LICENSECERTIFICATIONS

Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets
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