Summer 2027 Healthcare Analytics Data Science Graduate Intern

Highmark; United States; Vor Ort; USD 28.000 - 41.000; Vollzeit

Zusammenfassung

Highmark Inc. invites applicants to the Summer 2027 Healthcare Analytics Data Science Graduate Internship. The program offers hands‑on experience applying advanced data science, statistical modeling, and machine learning to real‑world healthcare challenges.

Interns will collaborate with data scientists and stakeholders across projects including forecasting, anomaly detection, and interactive visualization. Participants will explore the analytics lifecycle from data prep to results communication,

Qualifikationen

• Bachelor's degree required or in progress for graduate study.
• Strong foundation in statistics, data analysis, and ML concepts.
• Experience with Python for data analysis or ML tasks.
• Familiarity with SQL and relational data concepts.

Aufgaben

• Work with data scientists and stakeholders on analytics projects.
• Apply ML methods, forecasting, and data visualization in healthcare contexts.
• Prepare data, build models, evaluate performance and communicate results.
• Contribute to reproducible analytical solutions and documentation.

Kenntnisse

Python

Statistics

Data analysis

Machine learning

Ausbildung

Bachelor's degree

Pursuing graduate degree

Tools

Git

GitLab

SQL

Jobbeschreibung

Job Description

Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.

Company

Highmark Inc.

Job Description

The Summer 2027 Healthcare Analytics Data Science Graduate Internship provides graduate students with an opportunity to gain hands‑on experience applying advanced data science, statistical modeling, and machine learning techniques to real‑world healthcare challenges. This internship is designed for students who are passionate about using data and innovative analytical methods to generate actionable insights and improve healthcare operations and decision‑making.

As a member of the Healthcare Analytics team, the intern will work alongside experienced data scientists, analysts, and business stakeholders to contribute to ongoing healthcare analytics initiatives. Projects may span a broad range of advanced analytical capabilities, including machine learning, knowledge graphs, time‑series forecasting, statistical process control (SPC), anomaly detection, and interactive data visualization.

Depending on the intern’s technical background, research interests, and team priorities, assignments may include developing analytical methods to identify unusual provider patterns, applying machine learning techniques to healthcare data, leveraging knowledge graphs to better understand provider information and relationships, developing forecasting solutions, or creating interactive tools that enable stakeholders to explore and interpret analytical results.

The program provides hands‑on experience throughout the analytics lifecycle, including data exploration and preparation, statistical analysis, model development and evaluation, visualization, technical documentation, and communication of results. Interns will use tools such as Python, SQL, Git, and GitLab while gaining exposure to collaborative development practices and potentially cloud‑based analytics environments.

Through mentorship, project‑based learning, and collaboration with healthcare analytics professionals, participants will strengthen their statistical, technical, problem‑solving, and communication capabilities while contributing reproducible analytical solutions that support meaningful healthcare initiatives.

Summary Of Job Responsibilities

This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands‑on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.

Required Qualifications

• Bachelor’s degree.
• Pursuance of a graduate degree full or part‑time in an accredited college or university.

Preferred Qualifications

• 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.

Essential Job Functions

• Communicate effectively. This position displays effective communication skills while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day‑to‑day operational problems.
• Under supervision, provide professional services as appropriate to the day‑to‑day operating objectives of the area. Receives guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments.
• Undertake and/or participate in projects and programs designed to develop professional skills and expertise appropriate to the needs of the organization.
• Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability.
• As specifically requested by management, conducts research and reporting inclusive of the recommendations or alternative proposals for action.
• Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.
• Perform miscellaneous job‑related duties as assigned.

Disclaimer The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and information security policy. Furthermore, it is every employee’s responsibility to comply with the company’s code of business conduct. This includes, but is not limited to, adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect geographic differential Highmark may apply for certain locations based upon comparative markets.

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.

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