Research Intern, Computational

profluent· Bioinformatics
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📍 Emeryville, California, United States; Hybrid (2-3 days on-site)

About this role

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 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
  • Salary: $1,667 per week
  • Opportunity to publish your work and make a lasting impact in computational biology and AI-driven protein design

What We Offer

  • 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 and benefits

Frequently Asked Questions

Is the salary disclosed for the Research Intern, Computational position at profluent?
The salary for this Research Intern, Computational role at profluent is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Research Intern, Computational position at profluent located?
This Research Intern, Computational role at profluent is based in Emeryville, California, United States; Hybrid (2-3 days on-site). The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Research Intern, Computational at profluent belong to?
This Research Intern, Computational position is part of the Bioinformatics department at profluent. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Research Intern, Computational position at profluent?
Click the "Apply Now" button on this page. You will be redirected to profluent's official application portal hosted on greenhouse where you can submit your application directly.
When was the Research Intern, Computational job at profluent posted?
This Research Intern, Computational position at profluent was posted on Sep 17, 2025. Apply as soon as possible — early applications are often reviewed first.
Research Intern, Computational
profluent
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