Bio-AI Software Intern: Build Protein Design Tools

Profluent Bio; Emeryville (CA); Hybrid; USD 28,000 - 34,000; Full time

Benefits offered by this job

Mentorship

Hybrid on-site work 2-3 days/week

Job summary

Profluent invites a Software Engineering Intern to join our frontier AI biology lab in Emeryville. You will design and build software supporting protein design, experiments, and data visualization, with close collaboration to scientists and ML researchers.

This paid internship (12 weeks, hybrid) offers mentorship, hands-on projects, and opportunities to ship tools used by researchers. Enrolled in BS/MS/PhD in CS or related field, strong Python skills preferred.

Qualifications

• Enrolled in a BS, MS, or PhD program in Computer Science, Software Engineering, Bioengineering, or a related field, or equivalent practical experience.
• Strong programming skills in Python and familiarity with AI-assisted tools for writing, testing, and debugging software.
• Experience with one or more of the following: web applications, data visualization, APIs, databases, or scientific computing.

Responsibilities

• Design and build software that helps scientists explore protein designs, plan experiments, or visualize results.
• Develop intuitive user interfaces and the APIs and data services that support them.
• Collaborate with scientists, engineers, and machine learning researchers to understand their needs and improve your work through feedback.
• Write well-tested code, document your work, and present your project to the team.

Skills

Python

AI tools

Education

BS/MS/PhD in CS or related field

Tools

Web applications

Job description

Profluent invites a Software Engineering Intern to join our frontier AI biology lab in Emeryville. You will design and build software supporting protein design, experiments, and data visualization, with close collaboration to scientists and ML researchers.

This paid internship (12 weeks, hybrid) offers mentorship, hands-on projects, and opportunities to ship tools used by researchers. Enrolled in BS/MS/PhD in CS or related field, strong Python skills preferred.