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Data Science Neuroscience Jobs in California (NOW HIRING)

Astera

Open Science Data Steward

Emeryville, CA · On-site

$100K - $150K/yr

Experience with data across many different fields of science, including, but not limited to, life sciences, materials science, neuroscience, robotics, and atmospheric science, and the ability to ...

New

Astera Institute

Open Science Data Steward

Emeryville, CA · On-site

$125 - $150/hr

Experience with data across many different fields of science, including, but not limited to, life sciences, materials science, neuroscience, robotics, and atmospheric science, and the ability to ...

New

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

Slope

Data Scientist, Bioengineering

San Francisco, CA · On-site

$150 - $200/hr

To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group ...

Merge

Data Scientist, Bioengineering

San Francisco, CA · On-site

$150 - $200/hr

To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group ...

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All JobsData Science Neuroscience JobsData Science Neuroscience Jobs in California

Data Science Neuroscience information

See California salary details

$23.5K

$109.6K

$201.2K

How much do data science neuroscience jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science neuroscience in California is $109,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,774.00 and $152,759.00 per year, depending on experience, location, and employer.

What is data science in neuroscience?

Data Science in Neuroscience involves applying computational, statistical, and analytical methods to study the brain and nervous system. Data scientists in this field analyze large-scale datasets, such as brain imaging, genomic, or behavioral data, to uncover patterns and insights about neural function and disorders. They use machine learning, data visualization, and other quantitative tools to advance understanding of the brain, support research, and aid in clinical decision-making. This interdisciplinary role requires knowledge of neuroscience, computer science, and statistics.

How do data scientists in neuroscience typically collaborate with research teams and clinicians?

Data scientists in neuroscience often work closely with multidisciplinary teams that include neuroscientists, clinicians, and other data specialists. They are responsible for designing and implementing analytical pipelines, interpreting complex brain data, and translating findings into actionable insights for both research and clinical applications. Effective communication skills are crucial, as they must explain technical results to non-technical team members and adapt analyses based on evolving research questions. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and impacts both academic and medical advancements.

What are the key skills and qualifications needed to thrive as a data science neuroscience professional, and why are they important?

To excel as a Data Science Neuroscience professional, you need a strong background in neuroscience, statistics, and programming, often supported by an advanced degree in neuroscience, data science, or a related field. Familiarity with data analysis tools such as Python, R, MATLAB, machine learning frameworks, and neuroimaging software like SPM or FSL is typically required. Critical thinking, problem-solving, and the ability to communicate complex findings clearly make individuals stand out in this interdisciplinary role. These skills are vital for effectively analyzing large-scale neural data, generating insights, and facilitating collaboration between data scientists and neuroscientists.

Can I become a data science neuroscientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a data science neuroscience role, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning, along with relevant certifications, can enhance your qualifications for this interdisciplinary field.

What are the most commonly searched types of Data Science Neuroscience jobs in California?

The most popular types of Data Science Neuroscience jobs in California are:

What are popular job titles related to Data Science Neuroscience jobs in California?

For Data Science Neuroscience jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Neuroscience jobs in California look for?

The top searched job categories for Data Science Neuroscience jobs in California are:

What cities in California are hiring for Data Science Neuroscience jobs?

Cities in California with the most Data Science Neuroscience job openings:

Data Science Neuroscience jobs near you
Infographic showing various Data Science Neuroscience job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $109,574 per year, or $52.7 per hour.

Open Science Data Steward

Astera

Emeryville, CA • On-site

$100K - $150K/yr

Full-time

Posted 2 days ago

New

Job description

About Astera
Astera is a private foundation on a mission to steer science and technology toward an abundant future for all. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress. We are searching for visionary leaders who are compelled by the challenge of driving transformative change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming here.
Position Summary
We are seeking a detail-oriented and proactive Open Science Data Steward to oversee the full lifecycle of research data across our science programs. In this in-person role, you will partner with researchers from many different fields of science, maintain high data quality standards, develop scalable data infrastructure, and champion open science and FAIR data principles. The ideal candidate brings expertise in data management, a collaborative spirit, and a commitment to responsible, innovative data sharing.
Key Responsibilities
  • Partner with researchers across Astera's Science to understand the context and characteristics of their data, ensuring it is prepared and published to meet the highest standards of quality and reusability for both human researchers and AI systems.
  • Serve as one of the organization's data stewards, overseeing the complete lifecycle of research data from creation through publication and archival, ensuring data integrity and accessibility throughout.
  • Work closely with a small but growing team of data stewards to create and maintain comprehensive living documentation for data repository interactions, establish best practices for data release timing and methods, metadata tools and standards, and ensure compliance with open science principles and FAIR (Findable, Accessible, Interoperable, Reusable) data standards.
  • Proactively identify patterns and emerging challenges in data management across research teams, collaborating with leadership to develop scalable solutions and infrastructure improvements that benefit the entire organization.
  • Support the integration of research data with open science knowledge graphs and ensure compatibility with emerging AI and machine learning ecosystems that rely on high-quality scientific data.
  • Provide training and guidance to new researchers and residents on data management best practices, fostering a culture of early and effective data sharing that maximizes scientific impact.
  • Collaborate across the organization, especially with software engineers, to identify and address technical gaps in data infrastructure, ensuring researchers have the tools and support needed to manage their data effectively.
  • Work directly with researchers and residents to ensure data policies are followed, being present on-site to navigate both routine compliance and the inevitable edge cases that require creative problem-solving, while knowing when to loop in leadership for guidance on particularly complex or sensitive data situations.
  • Navigate the balance between Astera's commitment to radically open science and the practical realities of responsible data sharing, developing thoughtful approaches for situations where research sensitivity, privacy requirements, safety considerations, or dual-use risks demand more nuanced data release strategies, and knowing when to escalate particularly challenging cases to leadership while maintaining the organization's open science mission.
Qualifications
Required:
  • Bachelor's degree in Computer Science, Information Science, Library Science, Data Science, or related field; advanced degree preferred.
  • 3-5+ years of experience managing data in research organizations, academic institutions, or similar environments with complex data governance requirements.
  • Deep understanding of data quality principles, data governance frameworks, and metadata standards, with demonstrated ability to implement these concepts in practice.
  • Familiarity with scientific data formats, repositories, and standards.
  • Excellent communication and interpersonal skills with the ability to translate between technical data requirements and researcher needs.
  • Strong organizational skills with meticulous attention to detail and the ability to manage multiple data projects simultaneously while maintaining high standards.
  • High agency self-starter with the ability to work independently, identify opportunities for process improvement, and drive initiatives forward without constant oversight.
Preferred:
  • Experience with data across many different fields of science, including, but not limited to, life sciences, materials science, neuroscience, robotics, and atmospheric science, and the ability to adapt quickly to understand domain-specific data challenges.
  • Familiarity with the AI/ML data landscape and understanding of how to structure data for machine learning applications.
  • Knowledge of open science initiatives and experience with open data publishing platforms.
  • Experience with data integration, knowledge graphs, or semantic web technologies.
  • Track record of developing data management policies, procedures, or training materials.

Location
This role is in-person at our office in Emeryville, CA.
Astera Institute is an Equal Opportunity Employer committed to building a diverse and inclusive team.

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