Protein Design Scientist, Computational

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.

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

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.

Hiring Salary Range

$125,000—$190,000 USD

What we offer at Profluent

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 added!

Profluent Bio, Inc 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.

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Protein Design Scientist, Computational

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