Mayo Clinic
Mayo Clinic
Posted 2 days ago
Internship
Rochester, Minnesota
Hybrid
Smart Summary
Responsibilities
The intern will apply statistics and computer science to solve healthcare problems involving diagnostic analytics, NLP, and process improvement. Responsibilities include managing the full data science lifecycle from acquisition and feature engineering to algorithm deployment and stakeholder feedback.
Qualifications
You are pursuing a college degree in a quantitative field and have coursework or projects in data science or ML. You will apply statistics and computer science to healthcare data, working on image analysis, NLP, signal processing, and pattern recognition, and participate in the data science lifecycle from data acquisition and feature engineering to model development and deployment. You communicate effectively with teammates and stakeholders and bring an openness to applying cross-industry concepts to clinical problems.
Must Have Skills for ATS
NLP
Image Analysis
Signal Processing
Pattern Recognition
Data Acquisition
Data Transformation
Exploratory Data Analysis
Feature Engineering
Algorithm Development
Algorithm Deployment
Data Engineering
Statistics
Job Description
Interns will utilize statistics and computer science to solve complex problems in healthcare. Problem areas include: diagnostic analytics such as image analysis, signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors, personalization – including sentiment, interests and affinities modeling, and process improvement (e.g. making sure patients are referred to the care teams they need). The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, feature engineering, algorithm development, and algorithm deployment into a relevant clinical and/or business context. Interns are expected to help formulate analytical questions, perform hypothesis testing, algorithm optimization, algorithm deployment, and integrate feedback rapidly from stakeholders. Candidate needs to have an open mind and ability to take concepts developed by other industries and apply them to healthcare. Candidates should be effective communicators and good team players. Candidates who have coursework, projects, and evidence of interest in data science (e.g. participating in Kaggle competitions) but lack industry experience are ideal for this position.
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