Healthcare Analytics Data Science Graduate Intern

This is a fully remote position, open to applicants in Alabama, +45 more states.

📋 Description

• Acquire practical experience in utilizing advanced data science, statistical modeling, and machine learning methodologies to tackle real-world challenges in healthcare.

• Collaborate with data scientists, analysts, and business stakeholders on healthcare analytics projects.

• Design analytical techniques to detect unusual patterns among providers.

• Implement machine learning methodologies on healthcare datasets.

• Utilize knowledge graphs to analyze provider information and their interrelations.

• Create solutions for time-series forecasting.

• Develop interactive tools that allow stakeholders to investigate and interpret analytical findings.

• Conduct data exploration and preparation, statistical analysis, model development and evaluation, visualization, technical documentation, and result communication.

• Employ Python, SQL, Git, and GitLab within collaborative development practices, potentially in cloud-based analytics settings.

• Effectively communicate findings with colleagues, clients, and both internal and external stakeholders.

• Provide professional services under supervision, including guidance, training, and mentoring.

• Engage in projects, programs, unit initiatives, research, and reporting with recommendations or alternative proposals.

• Execute related and various job responsibilities as assigned.

⛳️ Requirements

• Candidates must be authorized to work independently in the U.S.

• This position does not offer visa sponsorship.

• A Bachelor’s degree is required.

• Currently pursuing a graduate degree, either full or part-time, at an accredited college or university.

• Actively seeking a Master's or doctoral degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative discipline.

• Experience with Python for data analysis, statistical analysis, or data science applications is essential.

• A foundational understanding of statistics is necessary, including hypothesis testing, regression, and the interpretation of statistical uncertainty.

• Familiarity with SQL and relational data concepts is required.

• Compliance with HIPAA, data security guidelines, company policies, relevant laws, and training requirements is mandatory.

🏝️ Benefits

• Practical training and experience in the healthcare analytics sector.

• Access to mentorship and project-based learning opportunities.

• Opportunity to discover career paths within the business line and related fields.

• Chance to contribute to reproducible analytical solutions that support healthcare initiatives.