Protein Engineer (Brain-Computer Interfaces)

Location: San Francisco Bay Area; on-site

Salary: $120,000–$215,000 per year plus equity

Company

hirify.global is a frontier research lab developing brain-computer interfaces that connect biological systems with artificial intelligence.

What you will do

• Design and implement protein engineering strategies including rational design, computational modeling, directed evolution, and combinatorial libraries.
• Build and characterize protein variants through scalable, high-throughput workflows covering library generation, expression, and custom assays.
• Collaborate with computational, biochemical, structural biology, and data science specialists to connect protein sequences and structures with function.
• Investigate complex biomolecules and translate mechanistic insights into designs for dynamic molecular systems.
• Develop screening and validation methods that accelerate the design-build-iterate cycle and support transition toward in vivo applications.

Requirements

• PhD in bioengineering, biophysics, biochemistry, or a related field, or equivalent experience leading research projects end-to-end.
• Proficiency in library construction, protein expression in mammalian cells, and standard protein characterization.
• Comfort with computational approaches to protein engineering and understanding of their fundamental principles.
• Mechanistic thinking and ability to understand how complex biomolecules function.
• Strong collaboration and communication skills across scientific and technical disciplines.

Nice to have

• Experience engineering multi-state proteins, membrane proteins, or multi-component protein assemblies.
• Experience expressing proteins in primary neurons, brain organoids, or brain tissue.
• Experience with large-scale screening and creative assay development.
• Familiarity with machine learning or data-driven protein design.

Culture & Benefits

• Work on frontier biotechnology and brain-computer interface research.
• Collaborate across molecular engineering, synthetic biology, neuroscience, engineering, and computational disciplines.
• Fast-paced environment focused on 0-to-1 innovation and creative problem solving.
• Full-time employment with equity compensation.