Intern, Computational Research

Profluent; Emeryville (CA); Hybrid; USD 34,440,000 - 48,216,000; Full time

Benefits offered by this job

Mentorship from experts

Hybrid work schedule

Competitive internship compensation

Opportunity to publish

Job summary

Profluent, a frontier AI biology lab in Emeryville, CA, seeks a Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. You will design computational approaches, analyze large genomic datasets, and collaborate with ML, protein engineering, and biology teams.

The role offers mentorship and potential to publish your work. The position is hybrid (2–3 days on-site) at our Emeryville headquarters, with competitive internship compensation and

Qualifications

• Enrolled in BS/MS/PhD in a quantitative field (bioinformatics, computational biology, CS, statistics).
• Strong Python programming and familiarity with scientific computing libraries.
• Experience in ML, large-scale data analysis, genomics, or protein bioinformatics preferred.

Responsibilities

• Design and implement computational approaches for bioinformatics and ML research.
• Analyze large-scale genomic and protein datasets for insights and capabilities.
• Collaborate with ML, protein engineering, and biology teams to advance projects.
• Document and present research findings; opportunity to publish.

Skills

Python

ML concepts

Genomics

Problem solving

Collaboration

Education

BS/MS/PhD candidate in Bioinformatics/Computational Biology/CS/Statistics

Tools

NumPy

Pandas

Jupyter

Job description

Emeryville, California, United States; Hybrid (2-3 days on-site)

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.

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.

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

Qualifications

• 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

What We Offer at Profluent

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