Scientist, Protein Design

Role: Computational Scientist specializing in AI-driven protein design within Moderna's discovery research, focusing on de novo antibody and antigen development for therapeutic targets. Responsibilities include applying AI workflows, structure prediction, generative design, docking, and developability assessments to create and prioritize binder candidates, collaborating with experimental teams to interpret biophysical and screening data, and iterating designs accordingly. The role involves building and refining Python-based pipelines, benchmarking computational methods, and exploring agentic AI workflows for integrated target-to-design processes. Requirements: PhD in Biophysics, Biochemistry, Structural Biology, Computational Biology, or related field; hands-on experience in computational protein design, structural modeling, machine learning, and proficiency in Python. Experience with modern structure prediction and design tools such as AlphaFold, RFdiffusion, ProteinMPNN, Rosetta, or similar is essential. Preferred qualifications include designing biologics or de novo binders, experience with HPC/cloud workflows, in vitro characterization techniques, and publishing research in relevant domains. High-value specifics: focus on de novo binder discovery, antibody engineering, structure-based design, AI/ML methods, and integration with mRNA therapeutics development. The position involves cross-functional collaboration within Moderna's research teams and is based in a hybrid or onsite setting, with potential for ongoing scientific contribution across multiple discovery efforts.