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About the Role

As a Scientist in Synthetic Biology, you will design, build, and optimize genetic payloads that determine how, how much, where, and when molecular tools are expressed in the brain. You will develop mammalian gene circuits and multigene architectures that control stoichiometry, timing, cell-type specificity, and establish scalable workflows to test them rapidly. Your work will advance designs from neuronal models to in vivo validation, setting the expression-control foundation for next-generation brain-computer interfaces.

Responsibilities

Design and implement mammalian genetic-circuit strategies to control component stoichiometry, expression level, timing, cell-type specificity, and cellular burden in multicomponent payloads.
Build and characterize synthetic constructs at high throughput using modular libraries of promoters, UTRs, introns, polyadenylation signals, codon usage, gene order, polycistronic elements, and other regulatory sequences.
Develop compact expression-control systems such as inducible switches, dual-vector logic, feedback circuits, and microRNA-based regulation to safeguard against overexpression and off-target expression.
Engineer host-cell compatibility by addressing protein trafficking and turnover, proteostasis, metabolic burden, cellular stress, intracellular immune sensing, and transgene silencing; evaluate chaperone co-expression or degradation-control strategies where appropriate.
Translate expression requirements into payload architectures that are compatible with viral and non-viral delivery technologies.
Characterize expression and function in mammalian cells and neurons using quantitative readouts for dynamic range, leakiness, kinetics, stoichiometry, protein stability, cellular burden, stress responses, transgene silencing, and potential toxicity.
Evaluate lead payloads in animal models in collaboration with our in vivo operations team.

Requirements

A PhD in Synthetic Biology, Bioengineering, Molecular Biology, or a related field, or equivalent experience leading research projects end-to-end.
A strong record of designing and experimentally validating mammalian gene circuits or tunable expression systems.
Proficiency in molecular cloning, library construction, mammalian cell expression, and quantitative characterization using methods such as flow cytometry, qPCR, sequencing, imaging, or functional assays.
Experience establishing systematic or high-throughput construct-testing workflows.
Ability to think mechanistically and understand how things work.
Independence to define a research strategy, troubleshoot at the bench, and drive ambiguous programs from concept through interpretable data.
Enjoy collaboration and communicate naturally with experts across disciplines.
Energized by 0->1 innovations and desire to be part of a fast-paced team working on frontier scientific and technical problems.
Experience with neuronal, iPSC-derived, or primary-cell models and in vivo translation (Nice to have).
Experience with payload design for viral or non-viral delivery technologies (Nice to have).
Expertise in RNA regulation, aptazymes, microRNA-based control, UTR and mRNA-stability engineering, intracellular immune sensing or transgene silencing, or cell-type-specific expression (Nice to have).
Experience engineering multicomponent protein systems or modeling circuit behavior and expression dynamics (Nice to have).

Skills

Synthetic Biology
Bioengineering
Molecular Biology
Mammalian gene circuits
Multigene architectures
Stoichiometry control
Expression timing control
Cell-type specificity control
Scalable workflows
Protein engineering
Cell biology
Delivery technologies
In vivo validation
Molecular cloning
Library construction
Mammalian cell expression
Quantitative characterization
Flow cytometry
qPCR
Sequencing
Imaging
Functional assays
High-throughput construct testing
RNA regulation
Aptazymes
MicroRNA-based control
UTR engineering
mRNA-stability engineering
Intracellular immune sensing
Transgene silencing
Cell-type-specific expression
Multicomponent protein systems
Circuit behavior modeling
Expression dynamics modeling

Experience Level

PhD or equivalent experience leading research projects end-to-end

Education Level

PhD in Synthetic Biology, Bioengineering, Molecular Biology, or a related field

About the Company

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience.
We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.
Our Bio team designs, builds, and characterizes the biotechnologies that form the foundation of next-generation brain-computer interfaces.
We combine molecular engineering, synthetic biology, neuroscience and advanced physical methods such as ultrasound to establish less invasive, high-bandwidth connections with neurons.
The Bio team develops our core molecular technologies, validates their performance in vitro and in vivo, and demonstrates their advanced capabilities in animal models.
We build custom experimental setups and pipelines and collaborate closely with engineers and data scientists.
We work across disciplines to come up with creative ideas and solve some of the most challenging problems in biotechnology.

Equal Opportunity

Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status.
It is our intention that all applicants be given equal opportunity and that selection decisions be based on job related factors.
We are an equal opportunity employer.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.