ModernaTX-posted 9 days ago
Full-time • Mid Level
Onsite • Cambridge, MA
5,001-10,000 employees

The Role Moderna is seeking an exceptionally talented and highly motivated computational scientist with RNA biology background to work as part of a highly collaborative, multi-disciplinary, and fast-paced team. The successful candidate will develop and apply novel algorithms to design and optimize therapeutic mRNAs. Leveraging state-of-the-art bioinformatics, optimization, and machine learning approaches, this role directly contributes to advancing Moderna’s mRNA design and engineering platform across multiple therapeutic areas. The ideal candidate has a deep foundation in algorithm development, demonstrated through peer-reviewed publications, and experience applying machine learning and deep learning to problems in RNA or related molecular systems. This position has significant visibility and potential for growth in a dynamic organization.

  • Develop and apply novel combinatorial optimization algorithms to solve the needs and challenges specific to developing mRNA medicines
  • Work with RNA biologists, the high throughput screening team, and the NGS team to acquire appropriate datasets to train, build, refine machine learning models
  • Utilize deep understanding of scientific literature and concepts to drive innovation for mRNA design
  • Contribute to scientific and strategy discussions to advance and enhance the Moderna mRNA Platform
  • Maintain accountability for project success and result delivery
  • Communicate research findings to both technical and non-technical collaborators internally and externally
  • Ph.D. in Computer Science, Bioinformatics, Computational Biology, Statistics, Physics, or related field with post-doctoral training
  • Algorithm development experience required
  • Experience applying machine learning and deep learning models required
  • Experience with applications in RNA biology
  • Familiar with RNA secondary structure prediction tools and principles
  • 1+ year experience in industry
  • Experience analyzing NGS data from chemical probing experiments, e.g. SHAPE
  • Experience with programming or scripting language (multiple preferred), e.g. Python, R
  • High performance computing in a distributed/cloud environment, e.g. AWS
  • Software development best practices, including agile, version control, unit and integration testing, documentation, and deployment
  • Ability to manage multiple concurrent, fast-paced projects and to work with collaborators from both wet lab and dry lab
  • An established record of innovative research achievements in machine learning/bioinformatics reported in top-tier journals and patent applications
  • Excellent written and oral communication skills
  • Positive team building and teamwork skills: innate ability to influence, lead and inspire people, within function and beyond functional/company boundaries
  • 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
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