Profluent
Intern, Computational Research
Emeryville, California, United States +3 · Internship · Posted Oct 2, 2026
- Location
- Emeryville, California, United States
Hybrid (2-3 days on-site)
Emeryville, California, United States
Hybrid (2-3 days on-site) - Education
- Current MS or PhD student or recent graduate in Bioinformatics, Computational Biology, Machine Learning, Computer Science, Statistics, or a related quantitative field.
About the job
Conduct computational research at the intersection of bioinformatics and machine learning, analyzing biological data and developing methods for protein design.
What you'll do
- Design and implement computational approaches for bioinformatics and machine learning research.
- Analyze genomic and protein datasets to identify biological insights and capabilities.
- Collaborate with research teams and document and present findings, with potential for publication.
What they ask for
- Current MS or PhD student or recent graduate in a relevant quantitative field.
- Strong programming skills in Python and familiarity with scientific computing libraries.
- Experience in at least one of machine learning, large-scale data analysis, genomics, or protein bioinformatics.
Tools
Python, NumPy, pandas, Jupyter
AI focus
Develop computational approaches and conduct research in machine learning and AI-driven protein design.
Model-written summary · the original posting is authoritative