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Research Intern, Computational
Profluent BioResearch Intern in AI-first protein design company working on bioinformatics and machine learning. Engaging in moonshot projects with potential for impactful publications.
Posted 6/24/2026internshipEmeryville • California • 🇺🇸 United StatesEntry Level💰 $1,667 per weekWebsite
Tech Stack
Tools & technologiesNumpyPandasPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Competitive internship compensation and benefits
- Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology
- Work on moonshot projects at the frontier of AI and biology
- A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learninglarge-scale data analysisgenomicsprotein bioinformaticsscientific computingNumPypandasJupyter
Soft Skills
problem-solvingscientific curiosityindependent workcollaborative work