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Entry Level Behavioral Data Science Jobs in Santa Rosa, CA

ACES

BCBA

Santa Rosa, CA

$90K - $105K/yr

Lead and guide Behavior Technicians to deliver exceptional direct services. * Data-Driven Progress ... Possess enthusiasm for training, managing, and supporting entry-level staff. * Compliance: Meet ...

ACES

BCBA

Santa Rosa, CA · On-site

$90K - $105K/yr

Lead and guide Behavior Technicians to deliver exceptional direct services. * Data-Driven Progress ... Possess enthusiasm for training, managing, and supporting entry-level staff. * Compliance: Meet ...

Donor Network West

Research Assistant

Bodega Bay, CA

$19.75/hr

Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ... The candidates will have completed at least a basic entry-level college biology course and be ...

Donor Network West

Research Assistant

Bodega Bay, CA · On-site

$19.75/hr

Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ... The candidates will have completed at least a basic entry-level college biology course and be ...

Prism Biotech

Oncology Detail Rep - Pharma

Santa Rosa, CA · On-site

$89K - $120K/yr

Demonstrate the ability to quickly gain understanding of behavioral health/psychiatric disease ... entry level * Ability to understand and communicate highly scientific and technical medical ...

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How much do entry level behavioral data science jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level behavioral data science in Santa Rosa, CA is $21.29, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.89 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

What are popular job titles related to Entry Level Behavioral Data Science jobs in Santa Rosa, CA? For Entry Level Behavioral Data Science jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Science jobs in Santa Rosa, CA look for? The top searched job categories for Entry Level Behavioral Data Science jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Entry Level Behavioral Data Science jobs? Cities near Santa Rosa, CA with the most Entry Level Behavioral Data Science job openings:
Entry Level Behavioral Data Science jobs near you
Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

Buck Institute for Research on Aging

Novato, CA • On-site

$80K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

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]

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