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Protein Design Scientist, Computational

Profluent

Profluent

Design
Emeryville, CA, USA
Posted 6+ months ago

Born out of pioneering research in artificial intelligence and biology, Profluent develops machine learning models that can read and write biomolecules for human health and industrial applications. Based in Berkeley, CA, we are an early-stage startup funded by top investors and are comprised of world-class scientists, technologists, and professionals with a bold vision for the future. Join our passionate founding team as we propel our high-impact work forward!

Profluent is 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
Qualifications
  • 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

Preferences (but not required)

  • 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)

Actual salary will be determined based on relevant skills, qualifications, experience, training, and market data. Benefits package may vary depending on company policies and eligibility criteria.

Salary Range
$125,000$190,000 USD

What we offer at Profluent (aside from a fulfilling journey with awesome people)…

  • A high-growth opportunity with meaningful impact
  • 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!

Profluent Bio is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.