Protein Design Scientist
March 16
🏢 In-office - Bay Area
Description
• 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
Benefits
• Competitive compensation package • Health insurance (health/dental/vision) • Generous paid time off (PTO) policy • Commitment to physical and mental well-being • More benefits and perks to be announced shortly!
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