Full-Time

Laboratory Technician

The Biological Computing Co.

The Biological Computing Co.

11-50 employees

Living neural networks augment AI models

No salary listed

Baltimore, MD, USA

In Person

Full-time, on-site work is required in the Baltimore laboratory.

Bachelor's

Category
Biology & Biotech (1)
Required Skills
Inventory Management

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Requirements
  • A Bachelor's degree in Biology, Neuroscience, Biomedical Engineering, Chemistry or a related field.
  • Prior hands-on experience in a biological or biomedical research laboratory.
  • Familiarity with mammalian cell culture, primary cell culture or neural tissue preparation.
  • Experience handling small laboratory rodents and collecting tissue for research.
  • Strong attention to detail and the ability to follow precise protocols consistently.
  • Manual dexterity and comfort working with delicate laboratory materials and equipment.
  • Strong organizational, documentation and problem-solving skills.
  • Ability to recognize abnormal results, investigate likely causes and escalate issues appropriately.
  • Ability to read and follow written and verbal instructions.
  • Ability to prioritize work and complete assignments reliably in a dynamic, fast-paced laboratory.
  • Strong communication and interpersonal skills.
  • Ability to work full-time on site in TBC’s Baltimore laboratory.
Responsibilities
  • Perform specialized surface treatments and conditioning of microelectrode array plates according to established protocols.
  • Apply coatings and substrates required for cell attachment and electrophysiological stability.
  • Sterilize microelectrode arrays and associated materials using approved laboratory methods.
  • Handle microelectrode arrays and consumables aseptically to minimize contamination risk.
  • Maintain complete records of preparation methods, materials, lot numbers and outcomes to support traceability and reproducibility.
  • Perform routine quality-control checks to assess microelectrode array integrity, impedance and experimental readiness.
  • Identify coating defects, inconsistent impedance, contamination and other deviations from established quality standards.
  • Document quality-control results accurately and communicate issues promptly to appropriate team members.
  • Perform corrective actions and repeat preparation procedures when required.
  • Help establish clear acceptance criteria for microelectrode array use in scheduled experiments.
  • Maintain and support mammalian and primary neuronal cell-culture workflows.
  • Assist with sterile dissections, cortical cell isolation and preparation of primary neural tissue.
  • Prepare samples, solutions, media and reagents according to defined formulas and procedures.
  • Support cell staining, immunostaining and other laboratory assays as required.
  • Monitor culture health and escalate abnormal or atypical results promptly.
  • Perform experiments on biological samples according to approved protocols.
  • Coordinate with the electrophysiology team to ensure that microelectrode arrays, cultures, reagents and equipment are ready for scheduled experiments.
  • Assist with microelectrode-array-based neural stimulation and recording workflows.
  • Help collect, organize and maintain experimental and electrophysiological data.
  • Record experimental conditions, observations, deviations and results in appropriate laboratory systems.
  • Support preparation of data reports and database files used to track research progress.
  • Handle small laboratory rodents, including mice and rats, in accordance with approved protocols.
  • Assist with tissue collection and organ harvesting for downstream analysis.
  • Support cortical cell-isolation procedures and related ex vivo workflows.
  • Maintain complete animal-research and tissue-processing documentation.
  • Follow applicable IACUC protocols, training requirements and animal-welfare standards.
  • Monitor inventory levels for microelectrode arrays, coatings, media, reagents, tools and other consumables.
  • Order supplies and ensure critical materials are available when needed.
  • Maintain a clean, organized and experiment-ready workspace.
  • Perform routine equipment maintenance and basic troubleshooting.
  • Coordinate service or repairs when equipment issues require outside support.
  • Maintain safety records and follow applicable biological safety, chemical handling and waste-disposal procedures.
  • Diagnose recurring issues related to microelectrode array preparation, coatings, impedance, contamination or experimental readiness.
  • Recommend improvements to protocols, workflow efficiency and quality-control procedures.
  • Help convert successful research procedures into clear, repeatable standard operating procedures.
  • Participate in experimental planning and provide practical feedback on laboratory feasibility, timing and resource requirements.
  • Work effectively across biology, neuroscience and engineering teams in a research environment.
Desired Qualifications
  • Experience preparing, coating or testing microelectrode arrays.
  • Experience with microelectrode array systems, patch clamp or other electrophysiology methods.
  • Experience with cortical cell isolation or primary neuronal culture.
  • Familiarity with impedance testing and electrophysiology quality-control procedures.
  • Experience with immunostaining, immunohistochemistry or related assays.
  • Familiarity with GLP-aligned documentation and laboratory best practices.
  • Experience working under approved IACUC protocols.
  • Experience maintaining laboratory databases, experimental reports or electronic laboratory notebooks.
  • Experience in biotechnology, neurotechnology, biomedical research or another interdisciplinary environment.
The Biological Computing Co.

The Biological Computing Co.

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The Biological Computing Co. develops bio-computing that combines living neurons with silicon-based AI to boost AI performance, efficiency, and scalability. It encodes real-world data into living neural networks and decodes the resulting activity into richer representations that are then fed into AI models through modular Biological Adapters, while also offering an Algorithm Discovery Platform to explore biology-informed architectures. Unlike traditional silicon-only AI, it uses wetware as part of its stack and emphasizes adapters that translate neural signals into AI-friendly data. Its goal is to provide practical bio-computing infrastructure that delivers higher AI accuracy with less training and enables continuous learning.

Company Size

11-50

Company Stage

Seed

Total Funding

$25M

Headquarters

San Francisco, California

Founded

2022

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Simplify Jobs

Simplify's Take

What believers are saying

  • February 12, 2026 seed funding and Mission Bay lab extend runway and credibility.
  • May 27, 2026 hires from Stanford and Google strengthen science and partnerships.
  • July 2026 first paying customer and planned text-to-video launch prove commercial pull.

What critics are saying

  • No independent benchmark validation exists for TBC's 23x and 4.4x claims.
  • Cortical Labs, FinalSpark, and Koniku already compete for the same organoid intelligence narrative.
  • A neural culture contamination, ethics crackdown, or reproducibility failure can kill customer trust by 2027.

What makes The Biological Computing Co. unique

  • Alex Ksendzovsky and Jon Pomeraniec combine neurosurgery with commercialization discipline.
  • TBC claims living neurons improve video models, not just mimic brains in silicon.
  • July 30, 2026 demo tied neurons to OASIS 500M, showing productized biological optimization.

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Growth & Insights and Company News

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PR Newswire
Jul 30th, 2026
TBC releases neurally-optimised AI demo with 4.4x lower inference cost

The Biological Computing Co. (TBC) has released a public proof of concept for its neurally-optimised AI software. The San Francisco-based company uses real neurons to improve AI models. TBC applied its optimisation technology to Decart's OASIS 500M, an interactive video model trained on Minecraft gameplay. The demo is available at TBC.co. Working with AI infrastructure provider Bluesky Compute, TBC's optimised OASIS model demonstrated a twofold improvement on the selected video-quality benchmark, required approximately 4.4 times less inference cost, and produced more than three times as much coherent video as the base model. TBC's Algorithm Discovery Platform translates insights from real neural activity into new AI algorithms. The company plans to launch its first commercially available, neurally-optimised text-to-video model later this year.

PR Newswire
May 27th, 2026
Stanford professor and ex-Google exec join neuron-based computing firm TBC as advisors

The Biological Computing Co. (TBC), a San Francisco startup building neuron-based computing systems, has appointed two strategic advisors as it enters its commercialisation phase. Shaul Druckmann, Associate Professor of Neurobiology at Stanford University, joins as Neuroscience Advisor, whilst Richard Holden, a former Google executive, becomes Product and Partnerships Advisor. The appointments follow TBC's $25 million seed financing and come as the company expands from five to 25 full-time employees. Druckmann will guide neuroscience strategy and academic collaborations, whilst Holden will advise on product development and partnerships with cloud providers and AI infrastructure companies. TBC's platform integrates living neurons with AI systems to improve model training and performance, with applications across computer vision, generative video and adaptive systems.

Refactor Capital
May 16th, 2026
TBC secures $25M seed and becomes first company paid for biological compute

The Biological Computing Company (TBC) has raised $25 million in a Series C round led by Primary Venture Partners, with participation from Builders VC, Refactor Capital, Wonder Ventures, E1 Ventures, Proximity and Tusk Ventures. The company has become the first ever paid by a customer for biological compute — a commercial transaction for computational work performed by living neurons. TBC connects living neurons to electrodes and uses them as a computing substrate alongside AI systems. Its first product has demonstrated a 23-times improvement in video model efficiency. The company leverages biology's energy advantage: the human brain delivers approximately one exaflop of power on 20 watts, whilst NVIDIA's Blackwell requires around 120,000 watts for equivalent throughput. Founded in 2021 by neurosurgeons Alex Ksendzovsky and Jon Pomeraniec, TBC represents the commercialisation of a new computing substrate addressing AI infrastructure's escalating energy demands.

Tom's Hardware
Feb 15th, 2026
Living neurons integrated into modern AI processing, claims SF startup - biological computing power used to boost computer vision, generative video, and more

Living neurons integrated into modern AI processing, claims SF startup - biological computing power used to boost computer vision, generative video, and more. By Mark Tyson published 3 hours ago The Biological Computing Company (TBC) has just raised $25m, despite its admitted decades-long plans for real-time compute implementation. A San Francisco-based startup claims to be the first to have created a biological computing platform built from living neurons, purposed to accelerate artificial intelligence-based tasks. The Biological Computing Company (TBC) reckons this is a credible pathway to replace, or augment, silicon compute in AI, with support for processes like "computer vision, generative video, and AI infrastructure." Alongside the bold claims, it is revealed that TBC has secured $25m in funding from its initial seed round and will open a new flagship lab in the city. TBC was founded by two neuroscientists who are seeking to use "the most elusive, yet obvious idea in computer science - using the real brain for computing," notes an email received by Tom's Hardware. Moreover, the communication boasts that "biological computing can process foundational AI models 5x faster than silicon-based chips alone, requiring less power, generating greater accuracy, and reaching the scale that today's AI ecosystem requires." It is this kind of bold vision for a new class of AI infrastructure that has inspired the delivery of $25m in funding. However, at this early stage, we note that little of real substance has been publicly revealed to satisfy the curious minds of Tom's Hardware readers. We did enjoy looking at some of the computer vision, generative video, and algorithm discovery results found in the 'Today' section of TBC's home page, though. Latest Videos From Tom's Hardware The details we have about TBC's work say that the firm "encodes real-world data (e.g., images, video) into living neurons, then decodes neural activity into richer representations mapped onto state-of-the-art AI models through modular adapters." This is piped through TBC's Algorithm Discovery platform to bolster the AI compute layer. Thus, in effect, the TBC wetware and software works on the intersection of neuroscience and AI. That seems fitting, as TBC co-founders Alex Ksendsovsky, MD, PhD, and Jon Pomeraniec, MD, MBA, are both neurosurgeon-neuroscientists. "We're at the ground level of paradigm shift, of what comes next, after language, after silicon," says Pomeraniec. The promise of "building infrastructure to understand and interact with the world in a fundamentally new way" is tantalizing, but the details publicly shared by the company so far are too vague to properly assess. This concern is magnified by the very bold claims of TBC. Moreover, we've seen some interviews with the co-founders talk about a ten-to-20-year plan for its neurons in real-time compute integration. So, please stay tuned for a decade or two. Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds. Get Tom's Hardware's best news and in-depth reviews, straight to your inbox.

Fortune
Feb 11th, 2026
Two neurosurgeons just raised $25 million betting brain cells can (someday) outcompute silicon | Fortune

The Biological Computing Co. (TBC) has raised $25 million in seed funding, Fortune has learned.