We are seeking a highly motivated and innovative scientist to drive advances at the interface of RNA biology, computational modeling, and machine learning. In this role, you will design and implement cutting-edge computational approaches to uncover RNA structure–function relationships and to support discovery and development programs across the organization. You will work with complex datasets and build computational tools that provide high-throughput, data-driven insights to accelerate next-generation mRNA medicines. The ideal candidate has a strong foundation in RNA biology, is proficient with RNA secondary structure analysis tools, and has hands-on programming experience in languages such as Python or R. You will work extensively in cloud-based, high-performance computing environments and apply modern software engineering practices to deliver robust, scalable, and well-documented computational solutions. This is a highly collaborative role, requiring close partnership with both wet-lab and dry-lab teams. You will manage multiple dynamic projects, help shape scientific strategy, and clearly communicate findings to diverse stakeholders. A strong track record of impactful research—demonstrated by publications or patent contributions—is strongly preferred. If you excel in a fast-paced, interdisciplinary environment and are excited to push the boundaries of computational RNA science, we would love to hear from you.
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Job Type
Full-time
Career Level
Entry Level