Intern, Data Science
- Collaborates with data scientists and data engineers on tools, technologies, and best practices.
- Participates in analytics or AI projects and help document processes, methodologies, and outcomes.
- Contributes to presentations and summaries that communicate analytical findings to business and clinical teams.
- Contributes to the design and development of internal AI-based software applications and APIs.
- Conducts exploratory analysis on patient, clinical, and operational data to generate insights.
- Assists with data preparation, including cleaning, transforming, and validating datasets.
- Supports the development and evaluation of predictive models and machine learning workflows.
- Current enrollment in a Bachelor’s or Master’s program in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Basic proficiency in Python, R, or SQL.
- Familiarity with Git and version control.
- Strong analytical and problem-solving skills.
- Ability to communicate clearly with technical and non-technical audiences.
- Coursework or project experience working with healthcare data.
- Exposure to machine learning techniques or libraries such as scikit-learn, TensorFlow, or PyTorch.
- Exposure to LLMs, prompt engineering, or AI application development.
- Familiarity with cloud platforms (Azure, AWS, or GCP).
- Experience with NLP or text analytics (academic or project-based).
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