Remote Data Engineering Intern - Healthcare Analytics

About the Role

We are excited to announce an opportunity for a Remote Data Engineering Intern at RefinedScience. Our mission is to advance healthcare by integrating the best science and data to discover innovative pathways to life beyond disease. As a Data Engineering Intern, you will play a crucial role in building data infrastructure that supports advanced analytics and AI-driven insights in the healthcare sector.

What You'll Do

• Assist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world data.
• Support the integration of data from multiple sources, including clinical data, analytics outputs, and external datasets.
• Help develop and optimize ETL/ELT workflows to ensure data quality and reliability.
• Collaborate with data science and bioinformatics teams to support analytics and machine learning workflows.
• Contribute to data modeling, documentation, and best practices for data infrastructure.
• Participate in code reviews, testing, and performance improvements.
• Engage in Quality Reviews and Troubleshooting to enhance data processes.
• Communicate progress and findings to cross-functional teams effectively.

Requirements

• Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Data Engineering, Computer Science, Data Science, Software Engineering, or a related field.
• Experience with Python and/or SQL through coursework, projects, or internships.
• Basic understanding of data pipelines, databases, and data transformation concepts.
• Familiarity with version control systems (e.g., Git).
• Strong analytical thinking and problem-solving skills.
• Ability to learn quickly and work collaboratively in a team environment.

Nice to Have

• Previous internship experience in data engineering or related fields.
• Exposure to healthcare data and analytics.
• Knowledge of cloud platforms (e.g., AWS, Azure) for data storage and processing.

What We Offer

• Competitive internship salary with potential for growth.
• Remote work flexibility, allowing you to work from anywhere.
• Hands-on experience in a cutting-edge field of healthcare analytics.
• Opportunity to collaborate with experienced professionals in data science and engineering.
• Access to resources for personal and professional development.
• Supportive team environment that encourages learning and innovation.