Data Science Intern supporting analytics, data preparation, and model development at PANTHERx. Gain hands-on experience in statistical and machine learning techniques in a healthcare environment.
Responsibilities
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.
Requirements
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).
Benefits
Hybrid, remote and flexible on-site work schedules are available, based on the position.
PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program!
Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees.
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