Healthcare Analytics Data Science Graduate Intern

Highmark Health

. Gain hands-on experience applying advanced data science, statistical modeling, and machine learning techniques to real-world healthcare challenges .

Posted 11/3/2026part-timeRemote • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in applying advanced data science techniques, statistical modeling, and machine learning to healthcare analytics. Proficient in Python and SQL for data analysis, with a strong understanding of statistics and compliance with HIPAA regulations.

Highest-signal resume keywords

Python Data AnalysisStatistical ModelingMachine Learning TechniquesSQL ExperienceHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical AnalysisTime-Series ForecastingData ExplorationModel DevelopmentVisualizationTechnical DocumentationHypothesis TestingRegression AnalysisData Preparation

Soft Skills

Effective CommunicationCollaborationMentoring

Tools & Technologies

GitGitLabCloud-Based Analytics

Industry Keywords

Healthcare AnalyticsData Security GuidelinesProvider PatternsKnowledge Graphs

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Gain hands-on experience applying advanced data science, statistical modeling, and machine learning techniques to real-world healthcare challenges
Work with data scientists, analysts, and business stakeholders on healthcare analytics initiatives
Develop analytical methods to identify unusual provider patterns
Apply machine learning techniques to healthcare data
Leverage knowledge graphs to understand provider information and relationships
Develop time-series forecasting solutions
Create interactive tools for stakeholders to explore and interpret analytical results
Perform data exploration and preparation, statistical analysis, model development and evaluation, visualization, technical documentation, and communication of results
Use Python, SQL, Git, and GitLab in collaborative development practices and potentially cloud-based analytics environments
Communicate effectively with colleagues, clientele, and internal or external constituencies
Provide professional services under supervision with guidance, training, and mentoring
Participate in projects, programs, unit initiatives, research, and reporting with recommendations or alternative proposals
Perform related and miscellaneous job duties as assigned

Requirements

What you’ll need

Applicants must be authorized to work in the U.S. independently
No visa sponsorship is offered for this role
Bachelor’s degree
Pursuance of a graduate degree full or part-time in an accredited college or university
Currently pursuing a Master's or doctoral degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
Experience utilizing Python for data analysis, statistical analysis, or data science applications
Foundational knowledge of statistics, including hypothesis testing, regression, and interpretation of statistical uncertainty
Experience with SQL and relational data concepts
Must comply with HIPAA, data security guidelines, company policies, applicable laws, and training requirements

Benefits

Comp & perks

Hands-on training and experience in the healthcare analytics business line
Mentorship and project-based learning
Exposure to career opportunities in the business line and related areas
Opportunity to contribute reproducible analytical solutions supporting healthcare initiatives