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Google Neuroscience Jobs (NOW HIRING)

$91K - $125K/yr

Oversees registry operations across all applicable cardiovascular and neuroscience registries ... and/or Google Suite platforms. Licenses and Certifications * Registered Nurse (RN) - State ...

$91K - $125K/yr

Oversees registry operations across all applicable cardiovascular and neuroscience registries ... and/or Google Suite platforms. Licenses and Certifications * Registered Nurse (RN) - State ...

$27.54 - $33.13/hr

DESCRIPTION The Department of Neurosciences is leading clinical-academic department within the UCSD ... Google docs, and/or meeting schedules. * Knowledge and understanding of laboratory safety and ...

Reddit Specialist

New Germany, MN · Remote

$100K - $250K/mo

... neuroscience, chronic illness, biohacking, and health technology. * Help improve the company's visibility across Reddit, Google Search, ChatGPT, Perplexity, and other AI-driven search platforms.

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Google Neuroscience information

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$25K

$86.2K

$173.5K

How much do google neuroscience jobs pay per year?

As of Jul 21, 2026, the average yearly pay for google neuroscience in the United States is $86,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $105,000.00 per year, depending on experience, location, and employer.

What does a typical workday look like for someone in a Google Neuroscience role?

A typical day in a Google Neuroscience role often involves designing and running experiments, analyzing complex neurodata sets, and collaborating with cross-functional teams that may include software engineers, data scientists, and product developers. You may spend time reviewing the latest scientific literature, developing algorithms to interpret brain-related data, and presenting your findings to stakeholders. Team meetings and brainstorming sessions are common, as projects are highly collaborative and fast-moving. You can also expect to contribute to publications or attend conferences, helping to advance the field both within and outside the company.

Does Google hire neuroscientists?

Yes, Google hires neuroscientists for roles related to research and development in areas such as artificial intelligence, machine learning, and cognitive science. These positions often require expertise in neuroscience, data analysis, and programming, and may involve working with large datasets and advanced algorithms.

How much do you get paid at Google Brain?

Salaries for roles at Google Brain, including research scientists and engineers, typically range from $120,000 to over $200,000 annually, depending on experience, education, and specific responsibilities. Compensation may also include bonuses, stock options, and benefits. Entry-level positions generally start lower, while senior roles and those requiring advanced expertise tend to pay more.

What is a Google Neuroscience job?

A Google Neuroscience job involves using neuroscience principles, AI, and machine learning to advance human-computer interaction, brain-inspired computing, and health-tech innovations. Professionals in this field may work on brain-computer interfaces, neural network optimization, or cognitive computing research. Their goal is to enhance AI systems by understanding and applying brain mechanisms to improve performance and user experience. These roles typically require expertise in neuroscience, computer science, and machine learning.

Which 3 jobs will survive AI?

For a role in Google Neuroscience, jobs that require advanced research, critical thinking, and creativity—such as research scientists, data scientists, and machine learning engineers—are likely to persist as AI tools augment these fields. These roles involve complex problem-solving, innovation, and understanding of neuroscience and AI, making them less susceptible to automation. Continuous learning and expertise in programming, data analysis, and neuroscience are essential for long-term career resilience.

Is there a high demand for neuroscientists?

Neuroscientists, including those working in fields like Google Neuroscience, are in increasing demand due to advances in brain research, neurotechnology, and data analysis. Employment opportunities are growing in academia, healthcare, and tech industries, often requiring skills in programming, imaging, and data interpretation.

What are the key skills and qualifications needed to thrive in the Google Neuroscience position, and why are they important?

To thrive as a Google Neuroscience professional, you typically need an advanced degree in neuroscience, computer science, or a related field, coupled with experience in research and data analysis. Familiarity with machine learning frameworks, neuroimaging technologies, Python, and large-scale data processing platforms is highly valuable. Excellent problem-solving skills, interdisciplinary collaboration, and effective communication set candidates apart. These abilities are crucial for driving innovation at the intersection of neuroscience and technology, where teamwork and technical acumen enable impactful research and product development.

More about Google Neuroscience jobs
What cities are hiring for Google Neuroscience jobs? Cities with the most Google Neuroscience job openings:
What are the most commonly searched types of Google Neuroscience jobs? The most popular types of Google Neuroscience jobs are:
What states have the most Google Neuroscience jobs? States with the most job openings for Google Neuroscience jobs include:
What job categories do people searching Google Neuroscience jobs look for? The top searched job categories for Google Neuroscience jobs are:
UX Researcher, Human Factors, Watch

UX Researcher, Human Factors, Watch

Google

Mountain View, CA • On-site

Full-time

Posted 26 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Human Factors, Cognitive Neuroscience, Human-Computer Interaction (HCI), a related discipline, or equivalent practical experience.
  • 6 years of experience with research methods (e.g., usability studies, contextual inquiries, interviews) in an applied research setting.
  • Experience with research methods (e.g., usability studies, contextual inquiries, interviews) in an applied research setting.
  • Experience with programming languages (e.g., R, Python) and quantitative data analysis.

Preferred qualifications:
  • Master's degree or PhD in Human Factors, Cognitive Neuroscience, HCI, or related field.
  • Experience conducting UX or human factors research on hardware or wearable products, including troubleshooting physical setups.
  • Experience publishing scientific research in academic journals or peer-reviewed conferences.
  • Experience translating biometric and ergonomic data into actionable design recommendations.

About the job
As a Human Factors Researcher on the Watches team, you will join a supportive, collaborative, and highly successful UX team that has launched over ten hardware products. In this role, you will ensure physical interactions with wearable devices are effortless and comfortable. You will collaborate with cross-functional teams to design and moderate experiments, assess biometric and ergonomic responses, and analyze tactile, visual, auditory, and haptic stimuli. If you are a quantitative researcher with strong programming skills, a passion for academia, and a drive to build better products together, we want to hear from you.Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $231000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Collaborate with cross-functional teams to understand human response to tactile, visual, auditory, and haptic stimuli.
  • Assess biometric and ergonomic responses to various wearable devices.
  • Moderate experiments and interact directly with experimental participants.
  • Visualize experimental results to cross-functional stakeholders.
  • Advocate for users by recommending novel hardware solutions based on data-driven research methodologies.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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