Healthcare Analytics Data Science Intern - Summer 2027

Highmark Health; United States; Remote; USD 28,000 - 41,000; Full time

Job summary

Highmark Inc. is offering the Summer 2027 Healthcare Analytics Data Science Graduate Internship to graduate students eager to apply advanced data science, statistics, and ML methods to real-world healthcare challenges.

You will collaborate with experienced data scientists and stakeholders on projects ranging from ML and forecasting to interactive visualizations, using Python, SQL, Git, and GitLab. The program emphasizes hands-on lifecycle experience and reproducible analytics.

Qualifications

• Bachelor’s degree or pursuing graduate degree in a relevant field.
• Pursuing a graduate degree full or part-time in an accredited college or university.
• Preferred: Master’s or doctoral degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related 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.

Responsibilities

• Communicate effectively with colleagues, clientele, and stakeholders.
• Under supervision, provide professional services aligned with day-to-day objectives.
• Undertake and participate in projects to develop professional skills and expertise.
• Participate in planning and implementation of unit projects within area of expertise.
• Conduct research and reporting with recommendations for action.
• Undertake related studies or enrichment programs as appropriate.
• Perform miscellaneous job-related duties as assigned.

Skills

Python for data analysis

SQL

Statistics

Communication

Machine learning basics

Education

Bachelor’s degree

Pursuing graduate degree in Data Science

Tools

Git

GitLab

Job description

Highmark Inc. is offering the Summer 2027 Healthcare Analytics Data Science Graduate Internship to graduate students eager to apply advanced data science, statistics, and ML methods to real-world healthcare challenges.

You will collaborate with experienced data scientists and stakeholders on projects ranging from ML and forecasting to interactive visualizations, using Python, SQL, Git, and GitLab. The program emphasizes hands-on lifecycle experience and reproducible analytics.