Research Intern, Computational

Profluent
Location
Emeryville, California, United States; Hybrid (2-3 days on-site)
Job Type
Full-time
Posted
May 11, 2026
Views
197

Job Description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have 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 passionateComputational Research Internto 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-siteper week in our Emeryville, CA headquarters
  • Salary: $1,667 per week
  • Opportunity topublish your workand make a lasting impact in computational biology and AI-driven protein design

What We Offer

  • Work onmoonshot projectsat 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 and benefits

Frequently Asked Questions

Where is the internship located and what is the work arrangement?
This internship is located in Emeryville, California, United States, and is a hybrid role requiring 2-3 days on-site per week.
What are the main responsibilities for this internship?
You'll design and implement computational approaches, analyze large datasets, collaborate with other scientists and engineers, and document/present research findings.
What qualifications are required for the Computational Research Intern position?
You must be enrolled in a BS, MS, or PhD program in a relevant quantitative field. Strong Python skills and experience in machine learning, data analysis, genomics, or protein bioinformatics are also required.
What is the salary for this internship?
The salary for this internship is $1,667 per week.
What is the typical length of the internship?
The internship duration is typically 12 weeks, with flexible start dates.

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Job Information

Source: greenhouse
AI Relevance: 85/100 (Highly relevant)
Remote Type: hybrid
Allowed Locations: Emeryville, California, United States; Hybrid (2-3 days on-site)
Skills & Tags:
Bioinformatics

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