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Clinical Systems Engineer Jobs in California (NOW HIRING)

Systems Engineer

Pleasanton, CA · On-site

$110 - $150/hr

The engineer collaborates closely with cross-functional teams - including Systems, Software, Hardware, Quality, Clinical, and Regulatory - and coordinates with global engineering personnel to ensure ...

Systems Engineer

San Diego, CA · On-site

$90K - $120K/yr

The Role: The Systems Engineer position is part of Mainstay Medical's Product Development ... formal customer, clinical, regulatory, and business requirements. * Decompose high level ...

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Showing results 1-20

Clinical Systems Engineer information

See California salary details

$40K

$92.5K

$134.2K

How much do clinical systems engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for clinical systems engineer in California is $92,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $108,100.00 per year, depending on experience, location, and employer.

What does a clinical systems engineer do?

A Clinical Systems Engineer is responsible for managing and optimizing healthcare technology systems, ensuring they function safely and efficiently. They work with medical devices, electronic health record (EHR) systems, and IT infrastructure to improve clinical workflows. Their role involves troubleshooting, integrating new technologies, ensuring compliance with regulations, and collaborating with clinicians and IT teams to enhance patient care.

What are the key skills and qualifications needed to thrive as a clinical systems engineer?

To excel as a Clinical Systems Engineer, you need a strong background in biomedical engineering, information systems, and familiarity with healthcare regulations, usually supported by a relevant degree. Experience with medical device integration, clinical IT systems (such as PACS, EHRs), and certifications like CCE or CBET are highly valuable. Strong problem-solving, communication skills, and the ability to train or support clinical staff set candidates apart in this role. These abilities are crucial for ensuring that healthcare technology is implemented safely, efficiently, and in full compliance with regulatory standards.

What are popular job titles related to Clinical Systems Engineer jobs in California?

For Clinical Systems Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Clinical Systems Engineer jobs in California look for?

The top searched job categories for Clinical Systems Engineer jobs in California are:

Infographic showing various Clinical Systems Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $92,473 per year, or $44.5 per hour.

Clinical Systems Associate

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Posted 2 days ago

New


Job description

The Opportunity:

  • Dashboard and Data Review Support: Developing and maintaining dashboards and reports that support clinical trial data review, performance metrics, and operational insights across Biostatistics, Clinical Data Science, Clinical Systems, Medical Science, and Statistical Programming.

  • Programming and Automation: Develop and maintain scripts using SAS and R to support data cleaning, transformation, and reporting. Create utility tools to automate repetitive tasks and improve data processing efficiency.

  • Software Validation: evaluate and implement GxP-compliant clinical systems (including programming environment and data platforms). Collect requirements, interpret specifications, and work with IT to prepare IQ, OQ, PQ, and UAT test cases.

  • System Management and Maintenance: Support controlled clinical analysis systems, ensuring system availability, performance, and compliance. Maintain documentation for folder access control, system patches, and change management.

  • Training and User Support: Prepare and deliver onboarding materials and training sessions for clinical systems and data tools. Enhance user engagement by providing clear, accessible documentation and ongoing support.

  • Cross-Functional Collaboration: Work closely with Biostatistics, Clinical Data Science, Clinical Operations, and IT to understand data review needs, provide solutions to accelerate data cleaning, and improve data quality across clinical systems.

  • Project Coordination: Assist in tracking project timelines, deliverables, and dependencies. Support meeting organization, documentation, and follow-up across multiple priorities.

Required Skills, Experience and Education:

  • Bachelor's degree in Computer Science, Health Informatics, Biostatistics, or a related field (or equivalent experience in clinical data and programming).

  • 4 years of experience with SAS, SQL, and R programming for clinical data analysis, including dataset manipulation and TFL generation and verification.

  • Experience with dashboard development and web page design.

  • Familiarity with clinical trial data standards (e.g., SDTM, ADaM) and data cleaning processes.

  • Understanding software validation processes (IQ, OQ, PQ, UAT) and GxP compliance.

  • Strong attention to detail, data integrity, and traceability in a regulated environment.

  • Ability to manage multiple projects and communicate technical concepts across diverse teams.

Preferred Skills:

  • Direct experience with clinical trial data in a pharmaceutical or biotech setting.

  • Experience supporting the development and validation of ADaM datasets and TFLs for regulatory submissions.

  • Familiarity with clinical data visualization and reporting tools (e.g., R Shiny, Power BI).

  • Exposure to clinical systems such as CTMS, EDC, or statistical computing environments.

  • Experience delivering training and documentation to support user adoption of clinical systems and tools.

  • Experience with HTML and CSS for web page development.

  • Experience with version control systems (e.g., Git) for managing scripts and documentation.

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