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Research Assistant Jobs in Rohnert Park, CA (NOW HIRING)

Diamond Foundry

R&D Laser Technician

Bodega Bay, CA · On-site

$36 - $42/hr

Set up and run laser CNC systems to cut high-priority customer and R&D samples for process ... Work with process engineers to evaluate, standardize, and support new process development. * Assist ...

Diamond Foundry

R&D Laser Technician

Bodega Bay, CA

$36 - $42/hr

Set up and run laser CNC systems to cut high-priority customer and R&D samples for process ... Work with process engineers to evaluate, standardize, and support new process development. * Assist ...

TIAA

Director, Assistant Portfolio Manager

Napa, CA · On-site

$163K - $195K/yr

The Assistant Portfolio Management manages the Wealth Channel's the first ever Semi Liquid Farmland ... Stays informed of Natural capital industry, market and research as well as competitive fund ...

Kaiser Permanente

Psychological Asst

Santa Rosa, CA · On-site

Once hired as an Assistant, an employee will be offered and must work a schedule that would ... Knowledge of Evidence-Based Practice and psychotherapy research methods. * Knowledge of the bio ...

Kaiser Permanente

Psychological Asst

Santa Rosa, CA · On-site

Once hired as an Assistant, an employee will be offered and must work a schedule that would ... Knowledge of Evidence-Based Practice and psychotherapy research methods. * Knowledge of the bio ...

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Research Assistant information

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$9

$24

$35

How much do research assistant jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for research assistant in Rohnert Park, CA is $24.27, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.22 per hour, depending on experience, location, and employer.

What is a research assistant?

Research assistants are individuals who support research projects by helping with data collection, analysis, literature reviews, and administrative tasks. They often work under the supervision of a lead researcher or professor in academic, scientific, or industry settings. Research assistants may also contribute to the preparation of reports, presentations, and publications. Their role is essential in ensuring that research projects are conducted efficiently and accurately.

What does a research assistant do?

Research assistants gather and document information for their employer. As a research assistant, your responsibilities vary depending on the setting and field in which you work. Most research assistants work in academia, either in the science or humanities departments at a university, or for research institutes. Duties may include collecting data from the library and other sources, conducting surveys, and recruiting volunteers. In a laboratory setting, you may prepare, clean, and maintain lab equipment, assist with experiments, and log readings and results.

What are the key skills and qualifications needed to thrive as a research assistant, and why are they important?

To thrive as a Research Assistant, you need strong analytical skills, attention to detail, and a relevant academic background, often with a bachelor's or master's degree in the field. Familiarity with data analysis software (such as SPSS, R, or Excel), literature databases, and sometimes laboratory equipment is typically required. Effective communication, organization, and problem-solving abilities help Research Assistants collaborate and manage complex tasks efficiently. These skills are crucial for producing accurate, reliable research results and supporting the project's overall success.

What are some common challenges research assistants face when balancing multiple projects, and how can they effectively manage their workload?

Research Assistants often juggle several projects simultaneously, which can lead to competing deadlines and shifting priorities. To manage these challenges, it's important to maintain clear communication with supervising researchers, use organizational tools such as project management software or detailed timelines, and regularly review progress with the team. Setting realistic expectations and proactively seeking clarification on priorities can also help ensure tasks are completed efficiently. Developing these time management and collaboration skills is crucial for success in a dynamic research environment.

What is the difference between Research Assistant vs Laboratory Technician?

AspectResearch AssistantLaboratory Technician
Required CredentialsBachelor's degree often in a related field; some roles require a master'sAssociate's degree or certification in laboratory techniques
Work EnvironmentAcademic, research institutions, or corporate R&D settingsLaboratories, hospitals, or industrial labs
Employer & Industry UsageUniversities, research institutes, biotech companiesHospitals, diagnostic labs, manufacturing plants
Common Search & ComparisonYesNo

The main difference between a Research Assistant and a Laboratory Technician lies in their roles and qualifications. Research Assistants typically hold a bachelor's or master's degree and focus on supporting research projects, data analysis, and academic studies. Laboratory Technicians usually have an associate's degree or certification and perform routine lab tests and maintenance. Both roles work in laboratory environments but serve different functions within research and clinical settings.

Do I need a degree to be a research assistant?

Research assistant positions typically require at least a bachelor's degree in a relevant field, though some roles may accept candidates with related coursework or experience. Advanced positions may require a master's or higher degree, especially in specialized or academic research environments. Skills such as data analysis, laboratory techniques, or familiarity with research tools can also be important.

Do research assistants get paid a lot?

Research assistants typically earn hourly wages or stipends that vary depending on the industry, location, and level of experience. In general, research assistant salaries are modest compared to other professional roles, often ranging from minimum wage to mid-level pay, especially for entry-level positions or internships. Advanced skills, certifications, or working in specialized fields can lead to higher compensation.

How hard is it to get a job as a research assistant?

Securing a research assistant position typically requires relevant academic background, such as a bachelor's or master's degree, and strong organizational or analytical skills. Competition can be moderate to high depending on the field and institution, and some roles may require familiarity with specific tools or methodologies. Building a strong resume and gaining related experience can improve chances of employment.

What is a research assistant job salary?

The salary for a research assistant varies depending on factors such as experience, location, and employer, but typically ranges from $30,000 to $50,000 annually. Graduate students or those working part-time may earn less, often paid hourly or through stipends. Skills in data analysis and familiarity with research tools can influence compensation levels.
More about Research Assistant jobs

What are the most commonly searched types of Research jobs in Rohnert Park, CA?

The most popular types of Research jobs in Rohnert Park, CA are:

What job categories do people searching Research Assistant jobs in Rohnert Park, CA look for?

The top searched job categories for Research Assistant jobs in Rohnert Park, CA are:

What cities near Rohnert Park, CA are hiring for Research Assistant jobs?

Cities near Rohnert Park, CA with the most Research Assistant job openings:

Research Assistant jobs near you
Infographic showing various Research Assistant job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $50,480 per year, or $24.3 per hour.

AI Data Scientist-Furman lab

Buck Institute for Research on Aging

Novato, CA • On-site

$60K - $75K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging, computational biology, multi-omics, and translational data science.
This position is ideal for a creative, technically outstanding individual with a Master's degree or equivalent experience who has demonstrated excellence through high-impact projects, awards, hackathons, publications, startup experience, open-source contributions, or other evidence of exceptional technical ability. We are especially interested in candidates who are deeply fluent in the use of large language models, agentic AI systems, modern software engineering practices, and scalable approaches for harmonizing and modeling large, complex datasets.
The successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple collaborators, institutions, platforms, and data types.
We are looking for someone who is not only technically strong, but also inventive, entrepreneurial, and capable of rapidly building solutions. The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches for managing and modeling complex scientific data.
Key Responsibilities
1. Develop AI-enabled systems for large-scale data harmonization and modeling
The candidate will help design, build, and implement computational systems that support the organization, harmonization, modeling, and interpretation of large biomedical datasets. Responsibilities may include:
  • Developing agentic AI workflows to support data curation, quality control, documentation, and analysis
  • Designing LLM-powered tools to help harmonize large datasets across cohorts, studies, institutions, and assay platforms
  • Building pipelines to extract, standardize, and validate metadata and data dictionaries
  • Creating systems to support multi-modal data integration across omics, clinical, demographic, imaging, and functional datasets
  • Developing scalable approaches for identifying patterns, inconsistencies, and missing information across large datasets
  • Supporting model development for prediction, classification, clustering, and biological interpretation
  • Prototyping AI tools that improve research productivity, reproducibility, and scientific discovery
2. Apply LLMs, agentic AI, and modern machine learning approaches to biomedical research
Responsibilities may include:
  • Building workflows using large language models, retrieval-augmented generation, vector databases, tool-calling agents, and automated reasoning systems
  • Designing AI agents capable of interacting with structured and unstructured scientific data
  • Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation
  • Evaluating the performance, limitations, and reliability of AI-enabled tools in biomedical research contexts
  • Supporting responsible, reproducible, and well-documented use of AI in federally funded research
  • Collaborating with bioinformaticians and domain experts to translate research needs into functional computational tools
3. Support large-scale data science and computational biology projects
The candidate may contribute to analyses involving:
  • Transcriptomics, including single-cell and bulk RNA-seq
  • Proteomics
  • Metabolomics
  • Epigenetics and biological aging clocks
  • Clinical and phenotypic datasets
  • Survey data
  • Integrative multi-omics
  • Dimensionality reduction and clustering
  • Classification methods and predictive modeling
  • Drug repurposing
  • Network analysis and pathway enrichment
  • Computer vision and feature extraction, as applicable
4. Collaborate across interdisciplinary teams
The candidate will work closely with computational biologists, data scientists, principal investigators, research staff, software engineers, and external collaborators. Responsibilities may include:
  • Translating scientific goals into computational tools and workflows
  • Participating in project meetings and presenting technical progress
  • Creating clear documentation, diagrams, and technical specifications
  • Supporting manuscript preparation, grant writing, figure generation, and reporting
  • Working with diverse teams to improve data transfer, management, and analysis systems
  • Helping establish best practices for AI-assisted data science in biomedical research

Qualifications
Required Education and Experience
  • Master's degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Engineering, or a related field; equivalent professional, entrepreneurial, or technical experience will also be considered
  • Demonstrated experience building AI, data science, machine learning, or software engineering systems
  • Strong proficiency in Python
  • Experience using large language models, AI APIs, or LLM-based developer tools
  • Experience with modern software engineering practices, version control, testing, documentation, and collaborative development
  • Ability to work independently, rapidly prototype solutions, and solve ambiguous technical problems
Required Skills
  • Strong practical experience with large language models and AI-assisted workflows
  • Interest or experience in agentic AI, tool-calling agents, retrieval-augmented generation, vector search, or automated workflow orchestration
  • Strong analytical and problem-solving skills
  • Ability to design systems for organizing, harmonizing, and modeling large datasets
  • Comfort working with structured and unstructured data
  • Excellent written and oral communication skills
  • Strong attention to detail and commitment to reproducibility
  • Ability to collaborate with both technical and non-technical team members
  • High degree of creativity, initiative, and intellectual curiosity
Preferred Qualifications
  • Evidence of exceptional technical achievement, such as hackathon wins, awards, competitive programming, startup experience, open-source contributions, publications, deployed products, or other high-impact projects
  • Experience with biomedical, healthcare, clinical, or omics data
  • Experience with APIs, cloud platforms, Docker, databases, or scalable data systems
  • Experience with vector databases, embeddings, RAG systems, or AI agent frameworks
  • Experience with Python-based data science libraries and machine learning frameworks
  • Familiarity with data harmonization, metadata standards, ontologies, or research data repositories
  • Experience working in fast-paced startup, academic, or highly collaborative environments

Compensation and Benefits
  • Salary range: $60,000-$75,000, commensurate with experience
  • Full-time position
  • Exciting, collaborative work environment at the forefront of aging research, AI, and computational biology
  • Opportunity to help build AI-enabled systems for large-scale biomedical discovery
  • Generous benefits package, including:
    • Health insurance
    • Paid parental leave
    • Generous paid time off
    • 401(k) with 5% employer match
  • Work visa sponsorship may be available for qualified candidates

About the Buck Institute
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age.
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging - the number one risk factor for diseases including Alzheimer's disease, Parkinson's disease, cancer, macular degeneration, heart disease, and diabetes - the Buck seeks to help people live better longer.
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply
Interested candidates should click the Apply button to complete the online application.
Please upload:
  1. Resume or CV
  2. A brief statement describing your technical interests, relevant AI/data science experience, and examples of systems, tools, or projects you have built
  3. Names and contact information for three references, if available

Apply