Data Engineering Intern

Data Engineering InternAt 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 FORWe 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 ACTIVITIESAssist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world dataSupport 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 reliabilityCollaborate with data science and bioinformatics teams to support analytics and machine learning workflowsContribute to data modeling, documentation, and best practices for data infrastructureParticipate in code reviews, testing, and performance improvementsParticipate in Quality Reviews and TroubleshootingCommunicate progress and findings to cross-functional teamsMUST HAVESCurrently enrolled in a Bachelor's, Master's, or Ph.D. program in Data Engineering, Computer Science, Data Science, Software Engineering, or a related fieldExperience with Python and/or SQL through coursework, projects, or internshipsBasic understanding of data pipelines, databases, and data transformation conceptsFamiliarity with version control (e.g., Git)Strong analytical thinking and problem-solving skillsAbility to learn quickly and work collaboratively in a team envir