Intern, Computational Research

Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning.

This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering.

• →Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning
• →Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities
• →Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams
• →Document and present research findings internally, with the potential to publish in leading journals and conferences

• Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field
• Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter)
• Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics
• Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively

• Typical duration: 12 weeks, with flexible start dates
• Hybrid: 2–3 days on-site per week in our Emeryville, CA headquarters
• Opportunity to publish your work and make a lasting impact in computational biology and AI-driven protein design