Data Engineering Intern
Role Overview
The Data Engineering Intern at RefinedScience will assist in building and maintaining data pipelines that support advanced analytics in healthcare. This junior role involves collaborating with data scientists and bioinformaticians to integrate and optimize data workflows, ensuring data quality and reliability. The intern will contribute to the design and improvement of data infrastructure, impacting research initiatives significantly.
Perks & Benefits
This remote internship allows flexibility in work hours, accommodating students' schedules. Interns can expect a collaborative team environment, with opportunities for mentorship and skill development in data engineering. The company culture emphasizes learning and innovation, making it a great opportunity for career growth in the tech and healthcare sectors.
Full Job Description
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 envirPlease mention the word **LOGICAL** and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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