Data Engineering Intern

RefinedScienceRefinedScience·Remote
Data & Analytics

WFA Digital Insight

As the demand for data-driven insights in healthcare surges, data engineering skills are in high demand. RefinedScience's mission to advance care through cutting-edge science and data makes this internship particularly compelling. With the rise of remote work, digital skills are essential, and this role offers a unique chance to develop them.

Job Description

About the Role

RefinedScience is seeking a motivated Data Engineering Intern to join their team. The successful candidate will work on designing, building, and improving data pipelines and platforms to support research and analytics initiatives.

Responsibilities

  • 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
  • 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

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 (e.g., Git)
  • Strong analytical thinking and problem-solving skills

How to Stand Out

  • Be prepared to demonstrate your understanding of data pipelines and experience with Python and/or SQL.
  • Showcase your ability to work collaboratively in a team environment and communicate complex ideas effectively.
  • Highlight any experience with version control systems like Git and your ability to learn quickly.
  • When applying, use the word LOGICAL and tag RMTI5LjEyMS40MC4xNg== to show you have read the job post completely.

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