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Internship Brain Computer Interface Jobs in California

Merge Labs

Scientist - Synthetic Biology

San Francisco, CA · On-site

$120K - $165K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

Merge Labs

Scientist - In Vivo Operations

San Francisco, CA · On-site

$120K - $165K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

Neuralink

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most manufacturable Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in ...

Zyphra

Principal Solutions Architect

San Francisco, CA · On-site

Serving as the primary technical advisor to strategic partners and customers across Zyphra's full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems ...

Neara

PCB Layout Engineer

Santa Clara, CA · On-site

On-Site · USD 100,000-125,000 / year Santa Clara, California, United States ABOUT PRECISION NEUROSCIENCE Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal ...

Merge Labs

MLOps Research Engineer

San Francisco, CA · On-site

$200K - $235K/yr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Merge Labs

Research Associate

San Francisco, CA · On-site

$95K - $120K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

Merge

Research Associate

San Francisco, CA · On-site

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 ...

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Internship Brain Computer Interface information

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

What are the key skills and qualifications needed to thrive in the internship brain computer interface position?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What are the most commonly searched types of Brain Computer Interface jobs in California?

The most popular types of Brain Computer Interface jobs in California are:

What are popular job titles related to Internship Brain Computer Interface jobs in California?

For Internship Brain Computer Interface jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Brain Computer Interface jobs in California look for?

The top searched job categories for Internship Brain Computer Interface jobs in California are:

What cities in California are hiring for Internship Brain Computer Interface jobs?

Cities in California with the most Internship Brain Computer Interface job openings:

Internship Brain Computer Interface jobs near you
Infographic showing various Internship Brain Computer Interface job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Scientist - Synthetic Biology

San Francisco, CA • On-site

Merge Labs
See more jobs at Merge Labsexternal

$120K - $165K/yr

Full-time

Posted 4 days ago

Job description

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 developingfundamentally 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.
About the team
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.
About the role
As a Scientist in Synthetic Biology, you will design, build, and optimize the genetic payloads that determine how, how much, where, and when our molecular tools are expressed in the brain. You'll develop mammalian gene circuits and multigene architectures that control stoichiometry, timing, cell-type specificity, and establish scalable workflows to test them rapidly. Working closely with protein engineers, cell biologists, the delivery team, and in vivo scientists, you'll advance the strongest designs from neuronal models to in vivo validation. Your work will set the expression-control foundation for next-generation brain-computer interfaces.
In this role, you will:
  • 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.

You might thrive in this role if you have:
  • A PhD in Synthetic Biology, Bioengineering, Molecular Biology, or a related field, or have 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.
  • Think mechanistically: you are motivated by understanding how things work, not just that they work.
  • The independence to define a research strategy, troubleshoot at the bench, and drive ambiguous programs from concept through interpretable data.
  • Feel joy in collaboration and communicate naturally with experts across disciplines.
  • Are energized by 0->1 innovations and want to be part of a fast-paced team working on frontier scientific and technical problems.

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

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
For more information about hiring at Merge, please visit our Hiring FAQ
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 are 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.

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