Scientist, Platform and TA Bioinformatics

** 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.
** Here’s What You’ll Do
*** 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
** Here’s What You’ll Need (
**** Basic Qualifications)
*** 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
** Here’s

What You’ll Bring to the Table (Preferred Qualifications)
*** 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
** Pay & Benefits
**** At Moderna, we believe that when you feel your best, you can do your best work.  That’s why our US benefits and global well-being resources are designed to support you—at work, at home, and everywhere in between.
*** 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 salary range for this role is $ - $. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.

The successful candidate may be eligible for an annual discretionary bonus, other…