INTERNSHIP DETAILS

Research Intern, Computational

CompanyProfluent
LocationEmeryville
Work ModeRemote
PostedApril 22, 2026
Internship Information
Core Responsibilities
Design and implement computational approaches to advance research in bioinformatics and machine learning. Analyze large-scale genomic and protein datasets to uncover new biological insights.
Internship Type
full time
Company Size
54
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
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 Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures. To learn more about our mission to decode the language of life with AI, visit profluent.bio.
About the 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
Key Skills
BioinformaticsComputational BiologyMachine LearningData AnalysisGenomicsProtein BioinformaticsPythonScientific ComputingProblem-SolvingCollaborationDocumentationPresentation
Categories
Science & ResearchTechnologyHealthcareData & Analytics
Benefits
MentorshipCompetitive Internship CompensationBenefits