Intern, Computational Research

Profluent; United States; Hybrid; USD 34,000 - 48,000; Part time

Benefits offered by this job

Competitive internship compensation

Job summary

Profluent in Emeryville, CA is seeking a Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. This role offers exposure to open-ended scientific challenges with potential for high-impact publications and real-world applications.

You'll collaborate with scientists across machine learning, protein engineering, and biology teams, document findings, and have opportunities to publish.

Qualifications

• Enrolled in BS, MS, or PhD program in a quantitative field.
• Strong programming skills in Python and scientific libraries.
• Experience in ML, large-scale data analysis, genomics, or protein bioinformatics.
• Excellent problem-solving skills and ability to work independently and collaboratively.

Responsibilities

• Design and implement computational approaches to advance research in bioinformatics and ML.
• Analyze large-scale genomic and protein datasets to uncover insights.
• Collaborate with scientists across ML, protein engineering, and biology teams.
• Document and present findings, with potential to publish in journals and conferences.

Skills

Python programming

Genomics data analysis

Machine learning basics

Problem solving

Education

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

Tools

NumPy

pandas

Jupyter

Job description

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

Internship Details

• - 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