2027 Co-Op, mRNA Design Engineering

Moderna•Cambridge, MA
•$20 - $60•Hybrid

About The Position

The mRNA Design Operations Co-op is an individual-contributor role based at Moderna’s Binney site in Cambridge, Massachusetts, running from January 19, 2027 through June 25, 2027. The co-op works at the intersection of mRNA science, software engineering, data, and design operations, strengthening the workflows and digital tools that enable mRNA design. Working closely with scientists and software engineers, the co-op gains hands-on experience in software operations, testing, data quality, automation, workflow improvement, and emerging Generative AI-enabled tools and approaches. The role is part of Moderna’s in-person-oriented 70/30 work model, with 70% in-office collaboration. The position may involve access to export-controlled technology or data, and employment is contingent on eligibility to access that information under U.S. law. The posting states that only U.S. persons are eligible and that Moderna cannot offer immigration sponsorship for this role.

Requirements

  • Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Software Engineering, Bioinformatics, or a related field.
  • GPA of 3.5 on a 4.0 scale or equivalent academic achievement.
  • Programming experience in Python and familiarity with software testing and version control.
  • Strong problem-solving skills.
  • Ability to work independently and contribute effectively within a team.
  • Strong written and verbal communication skills.
  • High attention to detail and commitment to quality and compliance with established procedures.
  • Must already hold work authorization in the United States and be able to maintain that status without future sponsorship.
  • Must qualify as a U.S. person (citizen, permanent resident, asylee, or refugee) to access export-controlled information.

Nice To Haves

  • Work experience or substantial project experience in software tooling, automation, or bioinformatics engineering.
  • Experience using Python to clean, validate, or analyze data.
  • Experience working in high-performance computing (HPC) environments.
  • Hands-on experience writing automated tests, debugging software, or contributing to shared code projects.
  • Experience automating routine tasks or creating reusable scripts and clear technical documentation.
  • Desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and Collaborative.

Responsibilities

  • Develop dashboards that improve visibility into mRNA design workflows, operational performance, and system effectiveness.
  • Implement codebase improvements and benchmark algorithms to evaluate performance and strengthen software and computational workflows supporting mRNA design.
  • Support software release testing, troubleshoot issues, and help maintain automated tests to improve reliability and quality across design systems.
  • Audit data quality across mRNA design systems, identify inconsistencies or areas for improvement, and support data cleanup activities.
  • Develop scripts and contribute to automation efforts that simplify routine processes, reduce manual work, and improve design operations efficiency.
  • Update technical and operational documentation so workflows, tools, and processes are clearly captured and accessible to users.
  • Collaborate with scientists, software engineers, and users to understand workflow needs, gather feedback, and continuously improve tools and processes.
  • Explore how Generative AI and other emerging digital capabilities can support more efficient scientific and operational workflows within mRNA design.

Benefits

  • Free premium access to meditation and mindfulness classes.
  • Subsidized commuter benefits.
  • Paid time off, including vacation, sick time, holidays, volunteer days, and a discretionary year-end shutdown.
  • Location-specific perks and extras.
  • May be eligible for an annual discretionary bonus, other incentive compensation, or an equity award, subject to company plan eligibility criteria and individual performance.
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