AI-Powered Cardiovascular Data Analyst

https:/www.scheurer.org/careers/

Kentucky

On-site

USD 60,000 - 80,000

Full time

14 days+

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Job summary

The Cardiovascular Research Institute in Kentucky is seeking an Advanced Data Analytics Research Analyst to manage machine learning platforms for precision medicine research. This role demands strong skills in machine learning and data analysis, with responsibilities including predictive modeling and collaboration with cross-functional teams.

Ideal candidates will hold a Bachelor of Science degree and possess experience using R for data visualization in health contexts. A strong understanding of machine learning techniques and the ability to address complex health data challenges are essential.

Qualifications

  • Bachelor of Science required with knowledge and experience using R and related data visualization software.
  • Strong background in machine learning including Bayesian networks, neural networks, etc.
  • 0 to 1 year of experience in a health environment.

Responsibilities

  • Manage development and application of machine learning approaches for health impact analysis.
  • Create predictive models using health information and imaging datasets.
  • Collect, clean, and preprocess data for quality and relevance.

Skills

Machine Learning
Data Visualization
R Programming
Organization Skills
Problem-Solving

Education

Bachelor of Science

Tools

R
Machine Learning Frameworks

Job description

The Cardiovascular Research Institute in Kentucky is seeking an Advanced Data Analytics Research Analyst to manage machine learning platforms for precision medicine research. This role demands strong skills in machine learning and data analysis, with responsibilities including predictive modeling and collaboration with cross-functional teams.

Ideal candidates will hold a Bachelor of Science degree and possess experience using R for data visualization in health contexts. A strong understanding of machine learning techniques and the ability to address complex health data challenges are essential.

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