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Imaging Data Scientist Jobs in Riverside, CA (NOW HIRING)

Edwards Lifesciences

Staff Data Scientist

Irvine, CA · On-site

$126 - $178/hr

As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on ... Deep domain expertise in cardiac, hemodynamic, imaging, or physiological modeling. Recognized depth ...

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and ...

Merck & Co.

Director Data AI & Analytics

Irvine, CA · On-site

$154.57 - $216.10/hr

Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and ...

Fujifilm

Director Data AI & Analytics

Irvine, CA · On-site

Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and ...

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and ...

Planet DDS

Data Engineer IV

Irvine, CA

$122K - $147K/yr

From practice management to imaging to revenue cycle automation, we're tearing down the old ... Partner with Product, Engineering, and Data Science teams to define data models and ensure high ...

Fujifilm

Scientist II - Bioprocessing

Irvine, CA · On-site

$84K - $93K/yr

Tasks include experimental design, data analysis, cell culture experiments, and maintaining good ... imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit:

Fujifilm

Scientist II - Bioprocessing

Irvine, CA · On-site

$84K - $110K/yr

Tasks include experimental design, data analysis, cell culture experiments, and maintaining good ... imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit:

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All JobsImaging Data Scientist JobsImaging Data Scientist Jobs in Riverside, CA

Imaging Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do imaging data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for imaging data scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What is an imaging data scientist?

An Imaging Data Scientist is a professional who specializes in analyzing and interpreting data from various imaging sources, such as medical scans, satellite images, or industrial photographs. They use advanced data analysis, machine learning, and image processing techniques to extract meaningful insights from complex image data. These scientists often collaborate with experts in fields like healthcare, remote sensing, or manufacturing to support decision-making and innovation. Their work can involve tasks such as developing algorithms for image classification, segmentation, or enhancement. The role requires strong skills in programming, statistics, and domain-specific knowledge.

How does an imaging data scientist typically collaborate with other teams in a research or clinical setting?

Imaging Data Scientists frequently work alongside radiologists, clinicians, and software engineers to develop and refine algorithms for analyzing medical images. Collaboration often involves regular meetings to interpret imaging data needs, share findings, and troubleshoot issues related to data quality or algorithm performance. They may also work closely with data engineers to ensure efficient data storage and retrieval, and with project managers to align on timelines and deliverables. This cross-disciplinary teamwork ensures that imaging solutions are both scientifically robust and practically applicable in clinical workflows.

What are the key skills and qualifications needed to thrive as an imaging data scientist, and why are they important?

To thrive as an Imaging Data Scientist, you need a strong background in computer science, mathematics, and image analysis, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or MATLAB, machine learning frameworks, and image processing tools such as OpenCV or ITK is typically required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for developing accurate image-based models, collaborating with interdisciplinary teams, and translating complex data into actionable insights.

What is the difference between Imaging Data Scientist vs Medical Data Scientist?

AspectImaging Data ScientistMedical Data Scientist
CredentialsTypically requires a degree in data science, computer science, or related fields; familiarity with imaging softwareRequires a degree in data science, biostatistics, or healthcare-related fields; often with knowledge of medical terminologies
Work EnvironmentWorks in healthcare, research institutions, or tech companies focusing on imaging dataWorks in hospitals, healthcare organizations, or biotech firms analyzing medical data
Industry UsageUsed in medical imaging analysis, radiology, and diagnostic researchApplied in clinical research, patient data analysis, and healthcare decision support

Imaging Data Scientists focus on analyzing medical images like MRI, CT scans, and X-rays, utilizing machine learning and image processing techniques. Medical Data Scientists work with broader healthcare data, including electronic health records and clinical data. While both roles require data science skills, Imaging Data Scientists specialize in imaging modalities, making their roles distinct yet overlapping in healthcare analytics.

What are popular job titles related to Imaging Data Scientist jobs in Riverside, CA?

For Imaging Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Imaging Data Scientist jobs in Riverside, CA look for?

The top searched job categories for Imaging Data Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Imaging Data Scientist jobs?

Cities near Riverside, CA with the most Imaging Data Scientist job openings:

Imaging Data Scientist jobs near you
Infographic showing various Imaging Data Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Computer Vision Engineer - 3D

Irvine, CA • On-site

Stark Pharma Solutions Inc
See more jobs at Stark Pharma Solutions Incexternal

$119K - $141K/yr

Contractor

Re-posted 21 days ago

Job description

Hi,

My name is Karthik Mutyala, and I am a Recruitment Manager with Stark Pharma Solutions, specializing in opportunities across the Pharmaceutical, Biotechnology, Medical Device, and Life Sciences industries.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Role: 3D Data Scientist / Computer Vision Engineer

Location: Irvine, CA (Hybrid)

Duration: 12-Month Contract

Schedule: Monday – Friday | 8:00 AM – 5:00 PM PST

Position Overview

We are seeking a highly skilled 3D Data Scientist / Computer Vision Engineer to support the development and validation of advanced 3D imaging technologies within a cutting-edge digital health and aesthetics environment. This role will focus on validating 3D facial capture systems, developing novel 3D digital biomarkers, and applying machine learning techniques to complex 3D datasets.

The ideal candidate combines expertise in data science, computer vision, machine learning, and 3D modeling technologies, with the ability to translate complex data into clinically meaningful insights.

Key Responsibilities

3D Imaging & Validation

  • Lead validation activities for 3D facial capture and imaging systems.
  • Design and execute validation studies to evaluate accuracy, reproducibility, and performance across diverse datasets.
  • Develop quantitative testing methodologies and statistical frameworks to assess 3D image quality and geometric precision.
  • Document findings and communicate results to technical and business stakeholders.
  • Computer Vision & Digital Endpoint Development
  • Develop and validate novel 3D digital measurements and biomarkers from facial imaging data.
  • Create scalable workflows for processing, analyzing, and extracting features from 3D meshes, point clouds, and photogrammetry data.
  • Support the development of clinically relevant outcome measures using advanced image analysis techniques.
  • Establish best practices for data preprocessing, quality control, and feature engineering.
  • Machine Learning & Data Science
  • Build, train, and evaluate machine learning models using 3D imaging datasets.
  • Apply computer vision, geometric deep learning, and statistical modeling techniques to solve complex analytical challenges.
  • Benchmark model performance and optimize algorithms for robustness, accuracy, and scalability.
  • Collaborate with software, engineering, and scientific teams to deploy and improve analytical solutions.
  • Cross-Functional Collaboration
  • Partner with imaging specialists, software engineers, clinicians, and product teams to define technical requirements and project goals.
  • Support research initiatives and contribute to innovation in digital health, imaging, and computer vision technologies.
  • Stay current with emerging trends in AI, machine learning, computer vision, and 3D data science.

Required Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Computer Vision, Biomedical Engineering, Machine Learning, or a related quantitative field.
  • 3+ years of experience in Data Science, Machine Learning, Computer Vision, or related technical roles.
  • Strong proficiency in Python and data science frameworks such as NumPy, Pandas, SciPy, Scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience working with:
  • 3D Meshes
  • Point Clouds
  • Depth Maps
  • Photogrammetry Data
  • Experience with 3D visualization, rendering, or modeling tools such as Blender, Autodesk Maya, or similar platforms.
  • Strong background in statistical analysis, validation methodologies, and experimental design.
  • Excellent communication and technical documentation skills.