Scientist, Platform and TA Bioinformatics

Role Overview

Moderna is seeking a highly motivated computational scientist to join a collaborative, multi‑disciplinary, and fast‑paced team supporting computational biology across platform research, therapeutic areas, INT, and development.
The role focuses on mRNA sequence design, analysis, visualization, and interpretation of complex biological datasets, with an emphasis on enabling sequence engineering workflows and improving supporting tools.

• Conduct mRNA sequence optimization to support platform mRNA sequence orders.
• Install IDR (Identity & Ratio) sequences for high‑priority programs and candidates advancing toward Lead Nomination.
• Support the day‑to‑day sequence engineering codebase and collaborate on integrating mRNA sequence engineering algorithms into platform applications.
• Generate hypotheses and execute analyses to improve sequence engineering optimization algorithms, including retrospective analyses and model performance assessments.
• Provide modeling and programming support for scientific work streams related to mRNA design, including collaboration on manufacturability‑focused efforts.
• Explore, evaluate, and implement new computational approaches that improve mRNA synthesis success and manufacturability outcomes.
• Improve existing repositories through runtime optimization, code refactoring, and maintenance of technical debt across sequence engineering and complexity rules codebases.
• Develop internal tools for interacting with APIs and systems related to mRNA sequence workflows.
• Communicate results and recommendations clearly to cross‑functional collaborators.

• BS/BA with 8+ years of experience.
• Experience in algorithm development, computational biology, bioinformatics, or mRNA‑related scientific computing.
• Demonstrated knowledge of genetics and molecular biology, particularly related to mRNA.
• Experience working with biological datasets and computational analyses.
• Proficiency in at least one programming or scripting language, such as Python and/or R.
• Strong written and oral communication skills.

• M.S. with 4–5 years of relevant experience, or Ph.D. with 0–2 years of experience in Bioinformatics, Computational Biology, or a related field;
  Ph.D. candidates should demonstrate experience applying computational methods to real‑world or production‑relevant biological problems.
• Experience with mRNA sequence optimization and related algorithm development.
• Ability to generate and test hypotheses using complex biological datasets.
• Experience supporting or improving scientific codebases, including refactoring, runtime improvement, and maintenance.
• Ability to understand previously implemented algorithms and improve or extend them thoughtfully.
• Experience building internal tools or workflows to support scientific or operational teams.
• Strong problem‑solving skills and the ability to draw clear conclusions from complex datasets.
• Ability to communicate effectively with both technical and non‑technical collaborators.
• Ability to manage multiple projects and priorities in a fast‑paced environment.
• Meticulous attention to detail and a strong sense of ownership.

The salary range for this role is $ - $. The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

• Best‑in‑class health‑care coverage, plus voluntary benefit programs to support your unique needs.
• A holistic approach to well‑being, with access to fitness, mindfulness, and mental health support.
• Family planning benefits, including fertility, adoption, and surrogacy support.
• Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year‑end shutdown.
• Savings and investment opportunities to help you plan for the future.
• Location‑specific perks and extras.

Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world‑class team.

We believe in giving our people a platform to change medicine…