Computational Research Intern
AI-first protein-design company using generative foundation models and wet-lab validation to create functional proteins and genome-editing systems.
Funding history
About Profluent
Profluent develops AI models for de novo protein design, with applications in biomedicine, agriculture, and industrial biology. Its platform includes protein-generation models such as ProGen3 and the AI-designed OpenCRISPR-1 gene editor.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement computational approaches for bioinformatics and machine learning research. You will analyze genomic and protein datasets, collaborate with scientists and engineers, and document and present your findings, with potential publication opportunities.
Requirements
- Enrollment in a relevant BS, MS, or PhD program
- Python
- Scientific computing libraries
- NumPy
- pandas
- Jupyter
- Machine learning, large-scale data analysis, genomics, or protein bioinformatics experience
- Problem-solving
Responsibilities
- Design and implement computational approaches for bioinformatics and machine learning research
- Analyze genomic and protein datasets
- Collaborate with scientists and engineers
- Document and present research findings