ZipRecruiter

Log In

2

No Experience Entry Level Data Science Jobs in Santa Rosa, CA

Chipton Ross

Materials Engineer

Santa Rosa, CA · On-site

$38/hr

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE) * Degree in Material Sciences, Chemical ... Experience working in a demanding team oriented environment POSITION RESPONSIBILITIES * Entry level ...

BUCKELEW PROGRAMS

CASE MANAGER

Santa Rosa, CA · On-site

$27 - $29/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Maintain accurate, timely, and complete client records and data tracking related to performance ... Associate degree and no experience: Eligible with six-year training plan * Bachelor's degree and no ...

Abbott

Method Development Scientist

Santa Rosa, CA

$90K - $180K/yr

  • Medical

  • Life

  • Retirement

Related work experience with a strong understanding of specified functional area. Preferred ... No SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive ...

Abbott

Method Development Scientist

Santa Rosa, CA · On-site

$90K - $180K/yr

  • Medical

  • Life

  • Retirement

Related work experience with a strong understanding of specified functional area. Preferred ... No SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive ...

previous page

Showing results 41-60

All JobsData Science JobsNo Experience Entry Level Data Science JobsNo Experience Entry Level Data Science Jobs in Santa Rosa, CA

No Experience Entry Level Data Science information

See Santa Rosa, CA salary details

$11

$20

$29

How much do no experience entry level data science jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for no experience entry level data science in Santa Rosa, CA is $20.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $23.41 per hour, depending on experience, location, and employer.

What is a no experience entry level data science job?

No Experience Entry Level Data Science jobs are positions designed for individuals who are new to the field of data science and may not have any prior professional experience. These roles typically focus on candidates with foundational knowledge of data analysis, statistics, and basic programming skills, often gained through coursework, bootcamps, or self-study. Employers for these positions generally provide training and mentorship, allowing new hires to learn practical data science skills on the job. Such positions are a great way for beginners to gain hands-on experience and start building a career in data science.

What are the key skills and qualifications needed to thrive as a no experience entry level data scientist?

To thrive as a No Experience Entry Level Data Scientist, you need a solid understanding of statistics, basic programming (often Python or R), and foundational knowledge in data analysis, typically supported by a relevant degree or coursework. Familiarity with tools like Excel, Jupyter Notebook, and introductory machine learning libraries such as scikit-learn or pandas is commonly expected. Curiosity, problem-solving skills, and a willingness to learn quickly help candidates stand out in this fast-evolving field. These abilities are crucial for analyzing data effectively, drawing meaningful insights, and adapting to new technologies and challenges in data science roles.

What are common challenges faced by individuals starting in entry-level data science roles with no prior experience?

Individuals beginning in entry-level data science positions without prior experience often face challenges such as getting up to speed with real-world datasets, learning to use industry-standard tools (like Python, SQL, or Tableau), and understanding how to translate business problems into data-driven solutions. Adapting to collaborative work environments, where projects often require teamwork with analysts, engineers, and business stakeholders, can also be a learning curve. However, most organizations provide mentorship and training opportunities to help new hires develop these skills quickly and grow within the team.

What are popular job titles related to No Experience Entry Level Data Science jobs in Santa Rosa, CA?

For No Experience Entry Level Data Science jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching No Experience Entry Level Data Science jobs in Santa Rosa, CA look for?

The top searched job categories for No Experience Entry Level Data Science jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for No Experience Entry Level Data Science jobs?

Cities near Santa Rosa, CA with the most No Experience Entry Level Data Science job openings:

No Experience Entry Level Data Science jobs near you
Infographic showing various No Experience Entry Level Data Science job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $43,328 per year, or $20.8 per hour.

Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

Buck Institute for Research on Aging

Novato, CA • On-site

$80K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

POSITION SUMMARY
The Ellerby and Gerencser labs at the Buck Institute seek a Postdoctoral Researcher (PhD required) with expertise in microscopy-based image processing, machine vision, and data operations supporting high-throughput small molecule screening. The lab integrates cell biology, advanced microscopy, robotic automation, and single-cell gene expression techniques to investigate cellular function in health and aging. Current efforts focus on defining youthful and aging-related cellular phenotypes to use in high-throughput screening efforts across multiple labs at the Buck Institute.
The successful candidate will develop and apply image-analysis pipelines, integrate imaging data with internal and external databases, and contribute to collaborative projects across Buck laboratories.
PROJECT OVERVIEW
This role involves developing and implementing algorithms, automated workflows, and analytical tools for modern microscopy and high-content imaging. Projects rely heavily on AI-based and classical segmentation methods, object detection, image registration, and object tracking. The lab uses automated microscopes and a fully robotic high-throughput screening system, generating large datasets requiring scalable, automated pipelines.
The candidate will:
  • Translate biological questions into analytical strategies.
  • Build and maintain image-analysis pipelines (deep learning and classical methods).
  • Work with multiple data modalities, including compound-library databases and phenotypic profiling datasets.
  • Support small-molecule screens, cell-painting-based phenotyping, and high-content imaging workflows.
  • Contribute to automation of data acquisition and experimental design.
Training will be provided in experimental technologies, and the candidate will also participate in experiment execution and data interpretation.
QUALIFICATIONS
Essential Requirements
  • PhD in bioinformatics, computational biology, or a related field
  • Experience with biological image processing and automated/pipeline-based image analysis
  • Proficiency in Python and common scientific/imaging libraries
  • Strong data analysis, database, and biostatistics skills
  • Windows and Linux proficiency
  • Demonstrated research portfolio or publication record
  • Excellent written and oral communication skills
  • Strong time-management skills and the ability to work independently and collaboratively
Desired Skills
  • Experience with data from high-throughput small-molecule screens
  • Experience with laboratory automation and robotic systems
  • Microscopic phenotypic profiling or cell-painting experience
  • Deep-learning tools (CNNs for object detection, instance segmentation, embeddings)
  • GUI development in Python (e.g., Flask, Voila)
  • Pathway analysis or knowledge-graph-based approaches
  • Programming in R
  • Experience with programmatic prompting of large language models
Compensation & Benefits
  • Salary Range: $80,000-100,00 per year, depending on experience and qualifications
  • Dynamic research environment using state-of-the-art techniques
  • Comprehensive benefits package: health insurance, paid parental leave, childcare assistance, generous vacation/sick leave, and a 401(k) with 5% employer match
  • Highly collaborative scientific and social community
ABOUT US
The Buck Institute is dedicated to extending human healthspan by addressing the biological mechanisms of aging. As a leading independent non-profit research institute in Marin County, CA, the Buck brings together experts across multiple disciplines to prevent or delay age-related diseases, including Alzheimer's, Parkinson's, cancer, cardiovascular disease, and diabetes.
We are committed to fostering an inclusive, welcoming environment. We strongly encourage applicants who will contribute to the diversity of our community.
Core facilities supporting our research include Microscopy (directed by Dr. Akos Gerencser), Bioinformatics, Flow Cytometry, Single Cell Genomics, Proteomics, Metabolomics, and Mouse Phenotyping and Behavior.
TO APPLY
Please submit your CV, a cover letter describing your research interests, and contact information for 2 references.
For Additional Information:
Professor Lisa M. Ellerby, Ph.D., and Research Associate Professor Akos Gerencser MD. Ph.D.
[email protected]
[email protected]

Apply