A company is looking for a Data Science Intern to work remotely in the Clinical and Population Health Analytics department.
Key Responsibilities
Assist in the development, implementation, and refinement of predictive models and machine learning algorithms
Clean, transform, and wrangle large-scale, heterogeneous datasets
Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights relevant to healthcare operations and clinical quality
Required Qualifications
Currently enrolled in a Bachelor's, Master's, or Ph.D. program in a quantitative field such as Data Science, Computer Science, or related discipline
Strong foundational knowledge of statistical analysis, probability, and machine learning concepts
Proficiency in at least one major programming language for data analysis (e.g., Python or R)
Experience with common data science libraries (e.g., Pandas, NumPy, Scikit-learn)
Familiarity with SQL and relational databases
