Data Engineering Intern
At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease.
WHAT WE ARE LOOKING FOR
We are seeking a motivated Data Engineering Intern to join our team. This internship is open to undergraduate and graduate students who are interested in building data infrastructure that supports advanced analytics, data science, and AI-driven insights in healthcare and life sciences.
You will work closely with data scientists, bioinformaticians, and engineers to help design, build, and improve data pipelines and platforms that power RefinedScience's research and analytics initiatives.
KEY ACTIVITIES
- Assist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world data
- Support integration of data from multiple sources (e.g., clinical data, analytics outputs, 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
- Participate in Quality Reviews and Troubleshooting
- Communicate progress and findings to cross-functional teams
MUST HAVES
- 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 (e.g., Git)
- Strong analytical thinking and problem-solving skills
- Ability to learn quickly and work collaboratively in a team environment
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