Computational Internship for Undergraduate & Graduate Students

Zymo Research CorporationIrvine, CA
$20 - $30Hybrid

About The Position

Zymo Research is excited to offer a year-long internship opportunity designed for passionate and driven students pursuing Bachelor's, Master's, or Ph.D. degrees in Computer Science, Data Science, Software Engineering, Bioinformatics, or related fields. At Zymo, we believe that innovation thrives at the intersection of science and technology. As a global leader in biotechnology, we are committed to fostering the next generation of scientific and technical talent. Our internship program provides a unique opportunity to work on impactful projects that directly support groundbreaking research in genomics, molecular biology, and automation. Interns will be immersed in a collaborative and fast-paced environment, contributing to real-world challenges in areas such as: Building scalable software tools for data analysis and visualization Developing machine learning models to advance bioinformatics applications Automating laboratory processes and improving data pipelines Supporting cloud infrastructure, cybersecurity, and systems integration Throughout the program, interns will receive mentorship from experienced engineers, scientists, and cross-functional teams, with access to cutting-edge technologies and the chance to see their work make a real difference. We are looking for curious, motivated individuals who are eager to apply their technical skills to meaningful problems in biotech. If you're ready to grow your career, make an impact, and be part of a mission-driven company transforming the future of science—Zymo Research welcomes you.

Requirements

  • passion for computer science, data science, software engineering, or bioinformatics
  • pursuing Bachelor's, Master's, or Ph.D. degree in related field
  • curious and motivated

Responsibilities

  • Building scalable software tools for data analysis and visualization
  • Developing machine learning models to advance bioinformatics applications
  • Automating laboratory processes and improving data pipelines
  • Supporting cloud infrastructure, cybersecurity, and systems integration
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