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Profluent · 7 months ago

Protein Design Scientist, Computational

Emeryville, California, United States

Full-time

Onsite

Mid Level

$125K/yr - $190K/yr

Profluent is an AI-first protein design company that develops deep generative models to design and validate novel, functional proteins. The Protein Design Scientist will drive the application of technologies for biomolecular design and collaborate with diverse teams to shape the company's scientific direction.

Artificial Intelligence (AI)BiotechnologyLife Science

No H1B

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

Qualification

Relevant fieldMachine learning applicationProtein structure-function analysisDeep learning frameworksScientific publicationsLarge language modelsDiffusion modelsCloud compute platforms

Required

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

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship

Legal authorization to work in the United States is required