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Scientist - In Vivo Operations

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Merge Labs
Full Time position
Listed on 2026-10-11
Job specializations:
  • Research/Development
    Research Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 165000 USD Yearly USD 120000.00 165000.00 YEAR
Job Description & How to Apply Below

Location

San Francisco Bay Area

Employment Type

Full time

Location Type

On-site

Department

Bioengineering

Compensation
  • $120K – $165K
    • Offers Equity

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.

About the Team

Our In Vivo team sits at the core of Merge Labs’ experimental engine, operating at the intersection of neuroscience, molecular biology, and engineering. We are responsible for executing and enabling in vivo studies across multiple teams, making our role critical to the success of the broader mission. We design, build, and run high-quality, scalable in vivo pipelines, supporting a wide range of experimental needs.

As a central function, we collaborate closely with cross-functional partners and serve as the backbone for translating ideas into robust, reproducible in vivo data. Given the breadth of teams relying on our work, we hold ourselves to the highest standards of execution, precision, and reproducibility. We are deeply committed to operational excellence, consistency, and continuous improvement, ensuring that every study is executed with rigor and reliability.

About

the Role

We are seeking an experienced In Vivo Scientist with a strong background in neuroscience or neuroengineering, and deep expertise in rodent brain surgery and delivery techniques, to lead and scale critical in‑vivo capabilities. This is a highly hands‑on role at the core of our experimental engine, where you will help build and refine robust, high‑throughput surgical and in‑vivo pipelines from the ground up.

In this role, you will play a pivotal part in translating novel biological tools into in‑vivo systems, driving the generation of high‑quality, reproducible data, and enabling rapid iteration of next‑generation molecular neurotechnology platforms. Your work will directly impact our ability to move fast, innovate, and push the boundaries of brain‑computer interface technologies.

In this Role, You Will
  • Design, execute, and scale high‑throughput in‑vivo neuroscience studies in rodents, with a strong focus on stereotaxic surgeries and delivery methods, while overseeing full experimental pipelines including dosing, monitoring, imaging, endpoint procedures, and ensuring consistency, precision, and reproducibility.
  • Design, develop, and optimize novel in‑vivo methodologies.
  • Develop, establish, and characterize novel animal models to evaluate the functionality of engineered proteins.
  • Collaborate with cross‑functional teams to develop and refine gene delivery for targeted and efficient expression in the CNS.
  • Contribute to the development of custom experimental setups integrating imaging and neuromodulation technologies.
  • Ensure compliance with animal welfare, regulatory, and biosafety standards.
  • Mentor and guide Research Associates to support scaling of in‑vivo operations.
You Might Thrive in This Role If You
  • Have a PhD or equivalent experience in leading research projects end‑to‑end in Neuroscience, Biology, Bioengineering, or related field with 5+ years relevant postdoctoral or equivalent industry experience.
  • Have a demonstrated hands‑on in‑vivo research experience, with strong expertise in rodent brain surgery and a track record of high‑quality study execution, attention to detail, and rigorous documentation practices.
  • Have proven ability to design and execute end to end in‑vivo studies.
  • Have a strong understanding of experimental rigor, reproducibility, and data quality.
  • Have experience working in…
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