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No Experience Computer Science Jobs in Santa Rosa, CA

AI Data Scientist-Furman lab

Novato, CA ยท On-site

$60K - $75K/yr

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 ...

Bachelor's degree or equivalent experience in Computer Science or related field * Development experience with programming languages * SQL database or relational database skills

Bachelor's degree or equivalent experience in Computer Science or related field * Development experience with programming languages * SQL database or relational database skills

Basic smartphone and computer skills * No experience required To Qualify: * At least 18 years old * Ability to work remotely from your smartphone or computer * Looking to earn extra income ...

Basic smartphone and computer skills * No experience required To Qualify: * At least 18 years old * Ability to work remotely from your smartphone or computer * Looking to earn extra income ...

Basic smartphone and computer skills * No experience required To Qualify: * At least 18 years old * Ability to work remotely from your smartphone or computer * Looking to earn extra income ...

Basic smartphone and computer skills * No experience required To Qualify: * At least 18 years old * Ability to work remotely from your smartphone or computer * Looking to earn extra income ...

Basic smartphone and computer skills * No experience required To Qualify: * At least 18 years old * Ability to work remotely from your smartphone or computer * Looking to earn extra income ...

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No Experience Computer Science information

See Santa Rosa, CA salary details

$61.8K

$90.9K

$107.1K

How much do no experience computer science jobs pay per year?

As of Jun 29, 2026, the average yearly pay for no experience computer science in Santa Rosa, CA is $90,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $102,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an entry-level computer science position with no prior experience, and why are they important?

To thrive in an entry-level computer science role, a foundational understanding of programming concepts, problem-solving skills, and a relevant degree or coursework are generally required. Familiarity with common programming languages (such as Python or Java), basic version control systems like Git, and exposure to software development tools is typical. Eagerness to learn, attention to detail, and strong communication skills help new professionals adapt quickly and collaborate within teams. These skills and qualities enable newcomers to contribute effectively, grow technically, and integrate smoothly into dynamic tech environments.

What Are Computer Science Jobs That Require No Experience?

Even with no experience, you can find entry-level computer jobs in fields like production technician or systems engineer. You may help produce hardware or software, develop processes to improve existing products, provide technical support, evaluate programming needs, or otherwise provide IT services for your employer. This is a broad category, so you may need to narrow your search to find jobs that match your education background. The daily responsibilities of a computer job vary by position and can include tasks like programming new software, debugging existing code, manufacturing specialized parts, or testing hardware to ensure it meets performance specifications.

What is the difference between No Experience Computer Science vs Software Developer?

AspectNo Experience Computer ScienceSoftware Developer
Required CredentialsNone or basic certificationsBachelor's degree in CS or related field
Work EnvironmentEntry-level, often in tech support or internshipsDevelopment teams, office setting, collaborative
Industry UsageEntry roles, internships, apprenticeshipsFull-time development roles in tech companies
Search & Comparison IntentUnderstanding entry-level optionsCareer progression, skill requirements

In summary, No Experience Computer Science roles are ideal for beginners with minimal or no prior experience, often focusing on foundational skills or internships. Software Developer positions typically require some formal education and offer more advanced responsibilities, aiming for career growth in software engineering.

What are 'No Experience Computer Science' jobs?

'No Experience Computer Science' jobs are entry-level positions in the tech industry that do not require prior professional experience in computer science. These roles are ideal for recent graduates, career changers, or individuals who have completed coding bootcamps or self-study. Common job titles include junior developer, IT support, software tester, or technical support specialist. Employers typically look for foundational programming knowledge, problem-solving skills, and a willingness to learn on the job. These positions provide valuable hands-on experience and a pathway to more advanced roles in technology.

What types of entry-level projects or tasks can I expect as someone applying for a computer science role with no prior experience?

As an entry-level candidate in computer science without prior experience, you can expect to start with tasks such as debugging simple code, maintaining documentation, writing unit tests, or assisting with basic software development under supervision. You may also work on small features, help with quality assurance, or support more senior developers with routine operational tasks. These responsibilities are designed to help you build technical skills, become familiar with the team's workflow, and gradually take on more complex assignments as you learn.
What are the most commonly searched types of Computer Science jobs in Santa Rosa, CA? The most popular types of Computer Science jobs in Santa Rosa, CA are:
What are popular job titles related to No Experience Computer Science jobs in Santa Rosa, CA? For No Experience Computer Science jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching No Experience Computer Science jobs in Santa Rosa, CA look for? The top searched job categories for No Experience Computer Science jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for No Experience Computer Science jobs? Cities near Santa Rosa, CA with the most No Experience Computer Science job openings:
Infographic showing various No Experience Computer Science job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 1% As Needed, 39% Full Time, 53% Part Time, and 7% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $90,865 per year, or $43.7 per hour.

Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Buck Institute for Research on Aging

Novato, CA โ€ข On-site

$80K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Key responsibilities

  • Develop and apply advanced AI and machine learning methods to research questions in aging biology.

  • Design, build, and optimize computational approaches for large-scale image and biological data analysis.

  • Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.


Job description

Position Summary
The Buck Institute for Research on Aging is seeking a Data Scientist / AI Scientist to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
The successful candidate will join a highly collaborative, multidisciplinary team that brings together expertise in biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data.
This position is 100% on site.
About the Zhou Lab
Our team is intentionally multidisciplinary, bringing together researchers from biology, biophysics, computer science, AI, and other quantitative fields. We see this cross-disciplinary environment as a significant strength, creating opportunities for shared learning, creative problem-solving, and innovation that would be less likely to emerge within a single field alone.
Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Recent example of our work:
The Spatiotemporal Proteome Landscape of Aging: Structural determinants of Age-Sensitive Proteome Remodeling (bioRxiv, 2026).
Responsibilities
  • Develop and apply advanced AI and machine learning methods to research questions in aging biology.
  • Design, build, and optimize computational approaches for large-scale image and biological data analysis.
  • Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
  • Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
  • Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
  • Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
  • Contribute to a collaborative and intellectually engaged research environment.
Required Qualifications
  • BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
  • Strong experience in one or more of the following areas:
    • Computer vision
    • Image recognition and segmentation
    • Deep learning
    • Generative AI
    • Diffusion models
    • Multimodal or foundation-model approaches
  • Demonstrated experience developing computational methods and analyzing complex datasets
  • Strong quantitative, analytical, and programming skills
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Preferred Qualifications
  • Experience with biological, biomedical, or microscopy imaging data
  • Experience working in interdisciplinary research environments
  • Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
  • Publication record, open-source contributions, relevant research, project, or code portfolio
Compensation & Benefits
  • $80,000 to $130,000 depending on skills and experience
  • Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option.
About the Buck
The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.
To Apply
Please submit:
  • a curriculum vitae or resume,
  • a brief statement of interest, and
  • any relevant publications, projects, or code.