Moderna
Scientist, Platform and TA Bioinformatics
Cambridge, Massachusetts, USA · Senior · Contract
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About the role
- 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.
- Generate hypotheses and execute analyses to improve sequence engineering optimization algorithms, including retrospective analyses and model performance assessments
- Improve existing repositories through runtime optimization, code refactoring, and maintenance of technical debt across sequence engineering and complexity rules codebases
Responsibilities
- This role sits at the intersection of sequence design, data analysis, and scientific computing, and will partner closely with cross-functional groups to support both day-to-day platform needs and broader sequence engineering efforts.
- Conduct mRNA sequence optimization to support platform mRNA sequence orders
- Support the day-to-day sequence engineering codebase and collaborate on integration of mRNA sequence engineering algorithms into platform applications
- 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
- Install IDR (Identity & Ratio) sequences for high-priority programs and candidates advancing toward Lead Nomination
- Develop internal tools for interacting with APIs and systems related to mRNA sequence workflows
- Experience building internal tools or workflows to support scientific or operational teams
- Ability to manage multiple projects and priorities in a fast-paced environment
Requirements
- BS/BA 8+ years of experience
- Demonstrated knowledge of genetics and molecular biology, particularly relating to mRNA.
- Proficiency in at least one programming or scripting language, such as Python and/or R.
- Experience with mRNA sequence optimization and related algorithm development
- Ability to generate and test hypotheses using complex biological datasets
- Ability to understand previously implemented algorithms and improve or extend them thoughtfully
- 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
Nice to have
- Here's What You'll Bring to the Table (Preferred Qualifications)
Skills
- Strong written and oral communication skills.
Compensation
- The salary range for this role is $121,600.00 - $194,500.00.
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
Company info
- By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture.
Visa & Work Authorization
- thout regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexua
This listing is sourced directly from Moderna's careers page and normalized into a canonical job model.