Scientist in Synthetic Biology

Location: San Francisco Bay Area, United States; on-site

Salary: $120K–$165K annually, plus equity

Company

hirify.global is a frontier research lab developing brain-computer interfaces that combine high-bandwidth biological interfaces with advanced AI.

What you will do

• Design mammalian genetic circuits and multigene payload architectures controlling stoichiometry, expression level, timing, cell-type specificity, and cellular burden.
• Build and characterize synthetic constructs at high throughput using modular regulatory-element libraries.
• Develop compact expression-control systems, including inducible switches, dual-vector logic, feedback circuits, and microRNA-based regulation.
• Engineer host-cell compatibility by addressing protein trafficking, proteostasis, metabolic burden, cellular stress, immune sensing, and transgene silencing.
• Translate expression requirements into payloads compatible with viral and non-viral delivery technologies.
• Characterize expression and function in mammalian cells and neurons, then evaluate lead payloads in animal models with in vivo scientists.

Requirements

• PhD in Synthetic Biology, Bioengineering, Molecular Biology, or a related field, or equivalent experience leading research projects end to end.
• Strong experience designing and experimentally validating mammalian gene circuits or tunable expression systems.
• Proficiency in molecular cloning, library construction, mammalian cell expression, and quantitative characterization.
• Experience with methods such as flow cytometry, qPCR, sequencing, imaging, or functional assays.
• Experience establishing systematic or high-throughput construct-testing workflows.
• Ability to independently define research strategies, troubleshoot experiments, interpret data, and collaborate across disciplines.

Nice to have

• Experience with neuronal, iPSC-derived, or primary-cell models and in vivo translation.
• Experience designing payloads for viral or non-viral delivery technologies.
• Expertise in RNA regulation, aptazymes, microRNA-based control, UTR and mRNA-stability engineering, intracellular immune sensing, transgene silencing, or cell-type-specific expression.
• Experience engineering multicomponent protein systems or modeling circuit behavior and expression dynamics.

Culture & Benefits

• Work in a cross-disciplinary Bio team combining molecular engineering, synthetic biology, neuroscience, ultrasound, engineering, and data science.
• Contribute to 0-to-1 research on next-generation brain-computer interfaces.
• Employment includes equity.
• Research spans in vitro, neuronal, and in vivo experimental systems.