Profluent is seeking to solve the problem of designing and validating novel, functional proteins to revolutionize biomedicine using deep generative models and large-scale evolutionary data
Requirements
- Strong programming skills in Python
- 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
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
Other
- Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field
- Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively
- 2–3 days on-site per week in our Emeryville, CA headquarters
- Typical duration: 12 weeks, with flexible start dates
