1

Manager Google Neuroscience Jobs (NOW HIRING)

... Google Docs, trackers, dashboards, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials ...

... Google Docs, trackers, dashboards, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials ...

... Google Docs, trackers, dashboards, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials ...

... Google Docs, trackers, dashboards, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials ...

... Google Docs, trackers, dashboards, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials ...

Lab Manager

Los Angeles, CA · On-site

$71K - $115K/yr

Bachelor's degree in biology, cell biology, neuroscience or related field. * 3-5 years' experience ... Skills in using computer with Microsoft Suite (Excel, Powerpoint), Google Docs, PhotoShop, and ...

New

Proficiency with Google Workspace and Microsoft Office; comfortable using Slack and Trello (or ... Familiarity with neuroimaging and neuroscience workflows (OPM-MEG, EEG, sEEG) and data quality ...

Proficiency with Google Workspace and Microsoft Office; comfortable using Slack and Trello (or ... Familiarity with neuroimaging and neuroscience workflows (OPM-MEG, EEG, sEEG) and data quality ...

next page

Showing results 1-20

Manager Google Neuroscience information

See salary details

$29K

$104.6K

$118K

How much do manager google neuroscience jobs pay per year?

As of Jun 29, 2026, the average yearly pay for manager google neuroscience in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

How much does a research scientist make at Google brain staff?

A research scientist at Google Brain staff typically earns a salary ranging from $150,000 to $200,000 annually, depending on experience and location. Compensation may also include bonuses, stock options, and benefits, reflecting the seniority and expertise required for this role.

Does Google do neuroscience research?

Google's parent company, Alphabet, has research initiatives related to neuroscience through its subsidiaries like DeepMind and Google Brain, focusing on artificial intelligence and machine learning inspired by neural processes. While Google itself does not conduct traditional neuroscience research, its AI research often draws on neuroscience principles to improve algorithms and models.

How difficult is it to get hired at Google?

Getting hired as a Manager at Google Neuroscience is highly competitive, requiring a strong background in neuroscience, machine learning, or related fields, along with relevant leadership experience. Candidates typically go through multiple interview rounds assessing technical skills, problem-solving ability, and cultural fit, often with a focus on innovation and collaboration. Strong educational credentials and a proven track record in research or product development are also important factors.

What is the difference between Manager Google Neuroscience vs Data Scientist Google Neuroscience?

AspectManager Google NeuroscienceData Scientist Google Neuroscience
Required CredentialsAdvanced degrees (PhD, MS) in neuroscience, computer science, or related fields; leadership experienceBachelor's or Master's in data science, statistics, computer science, or related fields; strong programming skills
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, develops models, supports research and product development
Employer & Industry UsageTech companies like Google, biotech firms, research institutionsTech companies, research labs, healthcare analytics

The main difference is that a Manager Google Neuroscience oversees teams and projects, focusing on leadership and strategy, while a Data Scientist Google Neuroscience primarily analyzes data and builds models to support research and product development. Both roles require strong technical skills and relevant educational backgrounds, but their responsibilities and focus areas differ significantly.

What neuroscience job pays the most?

In neuroscience-related fields, senior research director or principal investigator roles typically offer the highest salaries, often exceeding six figures, especially in industry or private sector settings. These positions require advanced degrees, extensive experience, and expertise in neurotechnology, data analysis, or clinical research.
What cities are hiring for Manager Google Neuroscience jobs? Cities with the most Manager 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 Manager Google Neuroscience jobs? States with the most job openings for Manager Google Neuroscience jobs include:
What job categories do people searching Manager Google Neuroscience jobs look for? The top searched job categories for Manager Google Neuroscience jobs are:
Infographic showing various Manager Google Neuroscience job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Temporary. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Full-time

Posted 8 days ago


Job description

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Neuroscience Quality Assurance Lead to oversee quality, consistency, and trainer performance across neuroscience and cognitive science AI training projects, ensuring that scientific training data is accurate and aligned with client expectations.
Responsibilities:
• Quality monitoring: Spot-check neuroscience/cognitive science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Scientific review: Evaluate AI-generated neuroscience/cognitive science explanations, research summaries, experimental interpretations, brain-behavior claims, cognitive theory applications, and step-by-step reasoning for accuracy and clarity.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and neuroscience/cognitive-science-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around neural mechanisms, cognition, experimental design, statistical interpretation, ethical boundaries, clinical caution, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain neuroscience/cognitive science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and neuroscience/cognitive-science-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply neuroscience/cognitive science review guidelines consistently and understand updates as projects evolve.
• Safety and ethics review: Flag pseudoscientific, overconfident, clinically misleading, ethically problematic, or unsupported claims about the brain, cognition, behavior, or mental health.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for neuroscience/cognitive science AI training projects.
Qualifications:
Required:
• Bachelor’s, Master’s, PhD, MD/PhD, or equivalent professional background in Neuroscience, Cognitive Science, Psychology, Neurobiology, Cognitive Psychology, Computational Neuroscience, Neurology-adjacent research, Biology, Biomedical Sciences, or a closely related field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in neuroscience/cognitive science research, teaching, laboratory work, academic review, science communication, experimental design, data analysis, or related scientific workflows.
• Strong understanding of neural systems, cognition, perception, attention, memory, learning, language, decision-making, neuroanatomy, neural signaling, research methods, and brain-behavior relationships.
• Ability to evaluate neuroscience/cognitive science content against detailed rubrics and identify issues such as neuromyths, overclaiming, unsupported causal conclusions, flawed study interpretation, incorrect terminology, pseudoscience, or misleading clinical implications.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
Preferred:
• Familiarity with tools or methods such as EEG, fMRI, behavioral experiments, computational modeling, neuropsychological assessment, statistics, Python/R/MATLAB, cognitive tasks, or literature review.
• Experience leading or supporting remote teams of researchers, reviewers, educators, annotators, science writers, or QAs.
• Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, psychology/neuroscience content review, or rubric-based review.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.