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Medical Computer Jobs in California (NOW HIRING)

Computer Operator I

Oceanside, CA ยท On-site

$27.04/hr

Medical, Dental, Vision, Life & AD&D Insurance, Long-Term & Short-Term Disability Insurance, 401(k) Savings Plan, Employee Assistance Program (EAP), Vacation & Paid Personal Time, 11 Paid Federal ...

New

ARES is seeking computer system analyst and IT system engineer / architect candidates to support ... Medical Insurance * Dental Insurance * Vision Insurance * HSA/FSA Accounts * Life & Disability ...

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Showing results 1-20

Medical Computer information

See California salary details

$36K

$162.6K

$332.6K

How much do medical computer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for medical computer in California is $162,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $265,000.00 per year, depending on experience, location, and employer.

What profession makes $300,000 a year?

In the medical field, specialized roles such as neurosurgeons, orthopedic surgeons, and cardiologists often earn $300,000 or more annually. These positions typically require advanced degrees, extensive training, and board certifications, and they work in high-pressure environments like hospitals or private practices.

What jobs fall under medical technology?

Medical technology encompasses a range of jobs including medical laboratory technologists, radiologic technologists, ultrasound technicians, and biomedical equipment technicians. These roles typically require specialized training, certifications, and knowledge of medical devices, imaging equipment, and laboratory procedures.

What is a Medical Computer job?

A Medical Computer job typically involves managing and maintaining computer systems used in healthcare settings. This can include electronic health records (EHR), medical imaging software, and hospital information systems. Professionals in this role ensure that medical data is stored securely, remains accessible to healthcare providers, and complies with industry regulations such as HIPAA. They may also provide technical support and troubleshoot issues related to medical technology.

What are the typical daily responsibilities of a Medical Computer in a healthcare facility?

A Medical Computer is responsible for accurately transcribing, verifying, and processing patient data, which often includes reviewing medical records and generating detailed reports for billing and insurance purposes. On a daily basis, you will interact with both electronic and paper records, ensure compliance with privacy regulations, and communicate with clinical staff to resolve discrepancies. The role often requires prioritizing tasks and managing multiple cases simultaneously, which makes attention to detail critical. Working in this position, you'll typically be part of a larger administrative or billing team, and your accuracy directly impacts the facility's revenue cycle and patient satisfaction.

What are the key skills and qualifications needed to thrive in the Medical Computer position, and why are they important?

To thrive as a Medical Computer, you need strong data analysis skills, meticulous attention to detail, and a background in medical claims processing or healthcare finance. Familiarity with hospital information systems, medical coding (such as ICD and CPT), and relevant certifications (like Certified Professional Coder) is often required. Strong organizational skills, the ability to work independently, and effective communication are important soft skills for this role. These competencies are vital for ensuring accuracy in medical billing, adherence to regulations, and efficient collaboration with healthcare staff.

What jobs pay 4000 a week without a degree?

A Medical Computer role typically does not pay $4,000 a week without specialized training or certifications. High-paying jobs that can reach this level without a degree include certain sales positions, real estate brokers, or skilled trades like commercial diving or specialized technical work, often requiring experience or licensing. Most roles with such earnings demand significant expertise, experience, or entrepreneurial effort rather than formal degrees alone.

What is the highest paying medical tech job?

In the medical technology field, radiologists and nuclear medicine technologists tend to have the highest salaries, often exceeding $70,000 to $80,000 annually. Advanced roles such as MRI or CT scan specialists, especially those with specialized certifications and extensive experience, can earn higher wages, particularly in hospital or diagnostic imaging settings.
What are the most commonly searched types of Medical Computer jobs in California? The most popular types of Medical Computer jobs in California are:
What cities in California are hiring for Medical Computer jobs? Cities in California with the most Medical Computer job openings:
Infographic showing various Medical Computer job openings in California as of June 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $162,574 per year, or $78.2 per hour.

Computer Vision Engineer - 3D

Stark Pharma Solutions Inc

Irvine, CA โ€ข On-site

$119K - $141K/yr

Contractor

Posted 15 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 โ€“ Friday | 8:00 AM โ€“ 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.