Note: The job is a remote job and is open to candidates in USA. Moderna is seeking a highly motivated computational scientist to join a collaborative team supporting computational biology. This role focuses on mRNA sequence design, analysis, and the development of tools to enhance sequence engineering workflows.

Responsibilities

• 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 integration of 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 workstreams 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

Skills

• BS/BA 8+ years of experience
• Experience in algorithm development, computational biology, bioinformatics, or mRNA-related scientific computing
• Demonstrated knowledge of genetics and molecular biology, particularly relating 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

Benefits

• Best-in-class healthcare 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
• 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

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