Intern, Computational Research

Profluent•Emeryville, CA

2d•Hybrid

About The Position

Profluent is the frontier AI lab for biology, building powerful foundation models for life's molecules to transform medicine and agriculture. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors and has raised over $150M. 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.

Requirements

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

Responsibilities

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