Healthcare Data Scientist - Predictive Analytics

jeffersonhealth; Pennsylvania; On-site; USD 95,000 - 130,000; Full time

Job summary

Jefferson Health is seeking a Data Scientist to conduct statistical analyses and design experiments to guide data-driven decisions. You will collaborate with the Data Science team to apply core principles and techniques, explore data, build and evaluate models, and communicate findings to stakeholders.

The role involves developing predictive models, interpreting results, and presenting insights to clinical staff and hospital leadership.

Qualifications

• Master's Degree in a quantitative field such as Data Science, Statistics, or related field.
• 3 years of data science or related work experience.
• Knowledge of data management languages and technologies such as Python, R, SQL or similar languages.

Responsibilities

• Perform data extraction, cleaning and harmonization.
• Complete data analysis and statistical modeling.
• Develop predictive models, conduct statistical analysis and design experiments to support data-driven decision making.
• Collaborate with cross-functional teams to identify business problems that can be solved using data science.
• Provide model interpretation and visualization of results.
• Supports the collection, analysis, and interpretation of information from multiple data sources to identify insights.

Skills

Python

R

SQL

Machine learning

Data analysis

Problem-solving

ML algorithms

Education

Master's Degree in a quantitative field

Tools

Salesforce

Job description

Jefferson Health is seeking a Data Scientist to conduct statistical analyses and design experiments to guide data-driven decisions. You will collaborate with the Data Science team to apply core principles and techniques, explore data, build and evaluate models, and communicate findings to stakeholders.

The role involves developing predictive models, interpreting results, and presenting insights to clinical staff and hospital leadership.