Note: The job is a remote job and is open to candidates in USA. Moderna is a biotechnology company developing mRNA-based medicines and vaccines. The Data Scientist will support Research and Early Development collaborations by applying machine learning, data analysis, algorithm development, and experimental design to sequence-function, RNA, and LNP design problems. The role will also develop ML-powered systems, collaborate cross-functionally, and communicate research findings.
Responsibilities
- Support and execute on research projects that leverage internal and external assay data to impact teams, processes, and projects in Biological Sciences, RNA Sciences, Chemistry and Delivery Sciences, and Bioinformatics, via data analysis and visualization, algorithm development, machine learning, and experimental design
- Keep abreast of and, where appropriate, apply recent advances in machine learning and optimization, and their application to machine learning problems in RNA and LNP design
- Design and analyze molecular and sequence libraries using statistical design of experiments, Bayesian optimization, active learning, and other data-driven approaches to maximize learning from experimental campaigns
- Employ agentic software development tools to develop, deploy, and maintain ML-powered systems that leverage our internal assay data to accelerate our science
- Utilize data science and software engineering best practices in day-to-day work, including automated testing, code review, and documentation designed to support reproducibility, collaboration, and effective use by AI agents
- Collaborate with data scientists, data engineers, laboratory scientists, software developers, and engineers across Moderna
- Communicate findings internally and externally
Skills
- Ph.D. in Computer Science, Biological Engineering, Computational Biology, Biostatistics, Applied Mathematics, or related discipline with 0-2 years of professional experience, or a Master's degree with 4+ years of relevant professional experience required
- Demonstrated understanding of biotech research and engineering processes including one or more of molecular biology, discovery chemistry, microscopy, etc
- Demonstrated prior experience in building sequence-function or QSAR models and applying them to molecular prioritization problems
- Demonstrated ability to partner with experimental scientists to design, prioritize, and analyze molecular or sequence libraries that address biological or therapeutic questions
- Strong foundation in statistics, including experimental design, regression/classification modeling, uncertainty quantification, hypothesis testing, and interpretation of noisy biological assay data
- 2+ years of experience delivering data science projects
- Outstanding communication skills (verbal and written)
- Success in communicating effectively to multiple levels of stakeholders
- Demonstrated experience building research collaborations and executing complex and interdisciplinary research projects to completion
- Fluency in Python, especially the scientific Python stack (Jupyter/Pandas/scikit-learn/PyTorch)
- Experience in identifying, procuring, and integrating external data sources as needed
- Ability to manage multiple projects and effectively collaborate in a dynamic, cross-functional environment
- Demonstrated experience and/or specialization in one of neural vision models, neural language models, diffusion models, or graph neural networks
- Track record of publishing scientific research and/or method development
- Familiarity with best practices in software development, including Amazon Web Services, Docker, version control (Git), and documentation
Benefits
- Competitive healthcare, 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 investments 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.
- A 70/30 work model with 70% in-office collaboration
Company Overview
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