Children’s Healthcare of Atlanta is seeking a Data Science Intern to support the development and operationalization of predictive models and enhance advanced analytics dashboards to improve clinical, financial, or operational outcomes.
Requirements
- Ability to perform exploratory data analyses and create effective data visualizations.
- Exposure to the theory and application of predictive (machine learning) and/or inferential (classical statistics) methods.
- Experience with advanced analytics tools (e.g., R, Python) and/or SQL data extraction and manipulation (e.g., Oracle, Microsoft SQL Server).
- Knowledge of at least one of the following: Machine learning algorithms (e.g., unsupervised clustering, logistic regression, XGBoost, lightgbm, random forest, neural networks); Classical statistics methods (e.g., bivariate analysis, regression analysis, ANOVA, survival models, principal component analysis, forecasting); and/or RShiny, Plotly or equivalent data visualization and dashboarding tools (e.g., Qlik, Tableau, Power BI).
- Familiarity with integrated development environment (e.g., RStudio Workbench, Pycharm, Visual Studio) and notebook tools (Rmarkdown, Jupyter) to create and share reproducible analyses.
- Familiarity with version control and issue tracking tools (e.g., Azure DevOps, Gitlab, Github).
- Familiarity with cloud computing and big data platforms (e.g., Snowflake, Spark, SCALA, Databricks, Azure ML).
Responsibilities
- Perform exploratory data analyses and create effective data visualizations.
- Work side by side with full-time data scientists, ML Engineers, business intelligence and reporting analysts to complete an internship project.
- Extract, transform, process and analyze complex data sets using appropriate tools.
- Follow technical guidelines and best practices for project management, source control, documentation and responsible machine learning.
- Effectively collaborate with team members and stakeholders across the health system.
- Communicate results and provide recommendations for improving data and/or operational workflows.
- Follow department and team norms for agile work management (daily standups, sprint planning etc.).
Other
- Research experience necessary either through previous internship, work experience, or coursework.
- College student with at least two years in a health sciences related program, such as pre-med, nursing, biomedical engineering, biology, chemistry, or statistics, or postgraduate student working toward a Master’s of Science in public health or medical degree.
- College or graduate student that is currently working towards a Bachelor or Master’s degree in Journalism, Communications, Business, Marketing, Healthcare Administration or other related field.
- Organized, detail oriented; Able to prioritize time-sensitive assignments.
- Willing to work long hours that could include evenings and weekends, if applicable to internship.
