Intern, Computational Research

Profluent|02 Oct 2026

fulltimehybrid

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Before you apply

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

Work arrangement: hybrid. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by Profluent; category and skill labels may be inferred. How our listings work · Report a problem

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

NOTICE TO STAFFING AND SEARCH FIRMS: Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.

Skills mentioned

PythonSpark

Frequently asked questions

Is the Intern, Computational Research position at Profluent remote?

The Intern, Computational Research role at Profluent does not have a confirmed remote arrangement in our data. Check the employer description for its work location.