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Intern, Computational Research

ProfluentEmeryville🇺🇸United States

Why this role stands out

This internship at Profluent offers a unique chance to contribute to groundbreaking AI for biology research, with opportunities for impactful publications and real-world applications. You'll thrive here if you're a quantitative student eager to develop your skills in machine learning and bioinformatics within a collaborative, cutting-edge environment, with the flexibility of a hybrid work mode. Apply now to join a well-funded company at the forefront of scientific innovation!

Quick overview

SeniorityEntry Level
Work modeHybrid
LocationEmeryville, United States
Machine LearningNumPyJupyterPandasPythonData Analysis

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.

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