About this role

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

Competitive internship compensation and benefits
Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology
Work on moonshot projects at the frontier of AI and biology
A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup

Research Intern, Computational

Key skills