Profluent - Emeryville, CA

posted 3 days ago

- Entry Level
Emeryville, CA
Publishing Industries

About the position

We're looking for a motivated and creative Protein Design Scientist to drive application of technologies for biomolecular design to complex therapeutically relevant systems. This position offers an opportunity to work at the forefront of generative modeling research across language processing, geometric representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly assess design needs and evaluate utility of existing models and algorithms. As an early employee, you will proactively shape the direction of our protein design efforts and collaborate across diverse teams of computational and experimental scientists.

Responsibilities

  • Adapt and apply state-of-the-art deep learning methods for protein sequence, structure, and function prediction to achieve protein design goals
  • Collaborate with ML and Biology team members to formulate design strategies for novel designed biomolecules
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Requirements

  • PhD in Biophysics, Bioengineering, Computational Biology, Bioinformatics, Computer Science, or a related field
  • Experience with applying machine learning and traditional techniques to achieve protein design objectives
  • Experience analyzing protein structure-function relationships to guide rational design
  • Publications at scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) or major machine learning conferences (NeurIPS, ICML, ICLR)
  • Experience with modern deep learning frameworks such as Pytorch or Jax

Nice-to-haves

  • Familiarity with large language models or diffusion models
  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Experience with cloud compute platforms (GCP, AWS, Azure)
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