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Associate Interdisciplinary Social Science Jobs in California

U.S. Army Corps of Engineers

INTERDISCIPLINARY

Corona, CA · On-site

$76K - $96K/yr

This position has Basic "Minimum Education" requirements for Interdisciplinary Series: Basic ... Basic Education Requirements for Social Science positions: Basic Education Requirements for ...

Seen Health

Social Work Assistant

Alhambra, CA · On-site

... interdisciplinary approach. Our mission is to empower seniors to age-in-place with dignity and ... Associate's Degree in Social Work, Human Services, Social Science, or relevant field preferred.

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Associate Interdisciplinary Social Science information

What is the difference between Associate Interdisciplinary Social Science vs Research Assistant in Social Science?

AspectAssociate Interdisciplinary Social ScienceResearch Assistant in Social Science
Required CredentialsBachelor's or Master's in social sciences or related fieldsBachelor's degree often required; some roles prefer or require a Master's
Work EnvironmentAcademic, research institutions, government agenciesResearch labs, universities, non-profits
Employer & Industry UsageUsed in academia, government, NGOs for interdisciplinary researchCommon in academic research projects, social science studies

The Associate Interdisciplinary Social Science role typically involves broader interdisciplinary research responsibilities, often requiring advanced degrees, while Research Assistants focus on supporting specific research projects, usually with a Bachelor's or Master's degree. Both roles are prevalent in academic and research settings, but the Associate Interdisciplinary Social Science position emphasizes a wider scope of social science disciplines and interdisciplinary collaboration.

What can you do with a degree in associate interdisciplinary social science?

An associate degree in interdisciplinary social science prepares graduates for entry-level roles in social services, community outreach, research assistance, or administrative support. It provides foundational skills in research, communication, and understanding social systems, which can be applied in various public and private sector positions.

What job can I get with an associate interdisciplinary social science?

An associate degree in interdisciplinary social science can qualify you for roles such as social services assistant, community outreach worker, research assistant, or administrative support in social organizations. These positions often require strong communication, research, and organizational skills, and may involve working in government agencies, non-profits, or healthcare settings.

What are the most commonly searched types of Interdisciplinary Social Science jobs in California?

The most popular types of Interdisciplinary Social Science jobs in California are:

What are popular job titles related to Associate Interdisciplinary Social Science jobs in California?

For Associate Interdisciplinary Social Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Associate Interdisciplinary Social Science jobs in California look for?

The top searched job categories for Associate Interdisciplinary Social Science jobs in California are:

What cities in California are hiring for Associate Interdisciplinary Social Science jobs?

Cities in California with the most Associate Interdisciplinary Social Science job openings:

Associate Interdisciplinary Social Science jobs near you
Infographic showing various Associate Interdisciplinary Social Science job openings in California as of June 2026, with employment types broken down into 2% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Data Scientist, Research, DeepMind

Socket.dev

Mountain View, CA • On-site

$232 - $252/hr

Other

Posted 4 days ago

Job description

Minimum qualifications:
  • Master's degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience.
  • 4 years of experience designing and executing multi-method research (e.g., RCTs, field studies, quasi-experiments) to measure cognitive, behavioral, and organizational outcomes.
  • 2 years of experience researching the impact of AI, collective intelligence, or technological transformation on organizations.
Preferred qualifications:
  • PhD degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience
  • Experience partnering with product/engineering teams to develop science-backed tools or interventions.
  • Track record of collaborations with cross-functional leadership in research and product areas.
  • Demonstrated ability to translate complex empirical findings into actionable strategies for executive leadership and engineering teams.
About the job:

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $232000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Design and execute a portfolio of multi-method research projects spanning generative, experiential, computational, and experimental methodologies, balancing scientific excellence with the pace of a frontier AI lab.
  • Define and uphold the team's experimental governance and scientific quality standards, including research ethics, data privacy, and reproducibility protocols.
  • Drive research that closes the loop between empirical insights and AI capability development, ensuring behavioral findings directly inform the design and evaluation of new tools, simulations, and benchmarks.
  • Collaborate across DeepMind technical teams — and, where relevant, with leading external academic partners — to manage open questions at the intersection of AI and organization science.
  • Co-author high-impact research papers, white papers, and executive syntheses that combine scientific authority with broad organizational relevance.
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