ZipRecruiter

Log In

1

Real World Evidence Rwe Jobs in Irvine, CA (NOW HIRING)

FieldAI

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$114K - $155K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... evidence collection, and own the IT-side response to audits and quarterly access reviews. * Senior ...

FieldAI

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$114K - $155K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... evidence collection, and own the IT-side response to audits and quarterly access reviews. * Senior ...

FieldAI

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$114K - $155K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... evidence collection, and own the IT-side response to audits and quarterly access reviews. * Senior ...

FieldAI

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$113K - $153K/yr

Job Summary : Field AI is transforming how robots interact with the real world, and they are ... evidence collection, and own the IT-side response to audits and quarterly access reviews. • Serve ...

FieldAI

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$121K - $166K/yr

Field AI is transforming how robots interact with the real world by building risk-aware, reliable ... evidence collection, and own the IT-side response to audits and quarterly access reviews. • Serve ...

Vesync

Sr. Applied Behavioral Scientist

Tustin, CA · On-site

Review, Validate & Maintain Evidence Standards: Provide expert review of decision rule performance in production, flag areas where real-world behavior deviates from the evidence base, and bring a ...

Vesync

Sr. Applied Behavioral Scientist

Tustin, CA · On-site

Review, Validate & Maintain Evidence Standards: Provide expert review of decision rule performance in production, flag areas where real-world behavior deviates from the evidence base, and bring a ...

Vesync

Sr. Applied Behavioral Scientist

Tustin, CA · On-site

Review, Validate & Maintain Evidence Standards: Provide expert review of decision rule performance in production, flag areas where real-world behavior deviates from the evidence base, and bring a ...

Salma Health

Clinical Psychiatrist

Laguna Hills, CA · On-site

$450K - $500K/yr

By leveraging real-world data and precision brain health research, we deliver measurable, evidence-based outcomes at scale. Headquartered in California, Salma Health is expanding access to innovative ...

Intercare Therapy

Field Readiness Coach

Riverside, CA · On-site

$24/hr

We are committed to evidence-based practices, excellent customer service, and employee quality of ... Help trainees translate coursework into real-world application. Readiness Evaluation ...

New

previous pagenext page

Showing results 21-40

All JobsReal World Evidence Rwe JobsReal World Evidence Rwe Jobs in Irvine, CA

Real World Evidence Rwe information

What is real world evidence (RWE)?

Real World Evidence (RWE) refers to clinical evidence regarding the usage and potential benefits or risks of a medical product, derived from analysis of real-world data (RWD). This data is collected from sources outside of traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. RWE plays a crucial role in understanding how treatments work in routine clinical practice, informing regulatory decisions, and supporting drug development and market access. Organizations use RWE to complement clinical trial data, improving healthcare outcomes and patient care.

How does a real world evidence (RWE) professional collaborate with cross-functional teams?

RWE professionals often work closely with colleagues from epidemiology, health economics, medical affairs, and regulatory affairs to design and execute studies using real-world data. Collaboration is essential, as RWE findings support evidence generation for regulatory submissions, market access, and post-marketing surveillance. Regular meetings, data-sharing sessions, and joint project planning are common, ensuring all stakeholders are aligned on study objectives, methodologies, and data interpretation. This collaborative environment helps translate complex data into actionable insights that support decision-making across the organization.

What are the key skills and qualifications needed to thrive as a real world evidence (RWE) professional?

To thrive as a Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, and data analysis, often supported by an advanced degree in a relevant scientific field. Familiarity with statistical software (such as SAS, R, or Python), real-world data sources (like EHRs and claims databases), and regulatory guidelines (FDA/EMA) is essential. Strong communication, problem-solving, and cross-functional collaboration skills help convey complex findings to stakeholders and integrate RWE into decision-making. These competencies are crucial for generating credible insights that inform clinical, regulatory, and commercial strategies in the healthcare industry.

What is the difference between Real World Evidence Rwe vs Clinical Data Analyst?

AspectReal World Evidence RweClinical Data Analyst
Required credentialsTypically requires a background in healthcare, epidemiology, or biostatistics, often with a master's or PhDUsually requires a degree in health informatics, biostatistics, or related fields, with similar certifications
Work environmentPrimarily in healthcare, pharmaceutical, or research organizations analyzing real-world dataIn clinical research settings, hospitals, or pharmaceutical companies analyzing clinical trial data
Employer and industry usageUsed by pharma companies, healthcare providers, and research institutions to generate real-world insightsUsed by research organizations, hospitals, and pharma for clinical trial data management and analysis

Real World Evidence Rwe professionals focus on analyzing data from real-world settings like electronic health records and insurance claims, while Clinical Data Analysts primarily work with clinical trial data. Both roles require strong analytical skills and related credentials, but Rwe specialists emphasize real-world data sources to inform healthcare decisions.

What are the most commonly searched types of Real World Evidence Rwe jobs in Irvine, CA?

The most popular types of Real World Evidence Rwe jobs in Irvine, CA are:

What are popular job titles related to Real World Evidence Rwe jobs in Irvine, CA?

For Real World Evidence Rwe jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Real World Evidence Rwe jobs in Irvine, CA look for?

The top searched job categories for Real World Evidence Rwe jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Real World Evidence Rwe jobs?

Cities near Irvine, CA with the most Real World Evidence Rwe job openings:

Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in Irvine, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution.

Software Engineer, Verification and Validation

FieldAI

Irvine, CA • On-site

$135K - $190K/yr

Full-time

Re-posted 9 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Learn more at https://fieldai.com.
What You'll Get to Do
1. Own End-to-End Robot Verification & Validation
  • Design and execute verification and validation strategies for complete robotic systems, from individual capabilities through full autonomous missions
  • Develop clear acceptance criteria, performance metrics, and test methodologies for new robot capabilities
  • Validate system behavior across multiple robotic platforms, environments, and operating conditions
  • Build repeatable qualification and regression processes that allow new capabilities to ship without compromising existing functionality
  • Establish a clear understanding of what "deployment-ready" means and provide quantitative evidence that systems meet that bar.
2. Build Scalable Robotics Test Infrastructure
  • Develop automated test infrastructure spanning simulation, hardware-in-the-loop, lab testing, and full robot operation
  • Create reusable test scenarios and evaluation frameworks that exercise autonomy under nominal, edge-case, and failure conditions
  • Build tools for experiment execution, telemetry collection, automated analysis, visualization, and reporting
  • Improve the reproducibility of robot testing so failures can be recreated, diagnosed, and verified efficiently
  • Help move validation from individual one-off tests toward continuously running, scalable system evaluation
3. Validate Real-World Robot Behavior
  • Design tests that expose robots to the uncertainty and variability encountered in real deployments
  • Exercise systems across changing terrain, obstacles, environmental conditions, sensor degradation, communication failures, compute limitations, and other realistic disturbances
  • Evaluate not only whether a robot succeeds, but how reliably, safely, and consistently it behaves across repeated trials
  • Identify performance boundaries and characterize where system behavior begins to degrade
  • Work directly with physical robots in the lab and field to reproduce difficult system-level failures
4. Turn Failures Into Engineering Signal
  • Debug failures across autonomy, sensing, state estimation, planning, control, system integration, compute, networking, and hardware boundaries
  • Use telemetry and experimental data to isolate root causes rather than simply identify symptoms
  • Develop tooling and instrumentation that make complex robot behavior easier to understand
  • Convert field failures and difficult-to-reproduce issues into deterministic regression tests whenever possible
  • Partner with subsystem owners to verify fixes and prevent recurrence
5. Drive System Reliability and Release Readiness
  • Partner closely with autonomy, robotics software, hardware, systems, and field teams throughout the development lifecycle
  • Identify integration and reliability risks early and ensure they are represented in the validation process
  • Build dashboards, scorecards, and automated evaluations that provide a clear view of system health and capability maturity
  • Help define release gates based on measurable system performance rather than subjective readiness
  • Continuously improve the V&V process as the autonomy stack, robot platforms, and deployment environments evolve

What You Have
  • Bachelor's, Master's, or PhD degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent hands-on industry experience
  • Strong software engineering fundamentals with proficiency in C, C++, and Python for developing, integrating, debugging, and testing robotic systems
  • Hands-on experience developing, integrating, testing, or debugging physical robotic or autonomous systems
  • Broad understanding of robotic systems, including sensing, state estimation, planning, control, communication, compute, and actuation
  • Experience developing and debugging robotics software using ROS 2 and distributed message-passing architectures
  • Strong experience working in Linux environments, with familiarity with real-time systems and RT-patched Linux kernels
  • Proficiency with Git and modern collaborative software development practices, including code review, branching, integration, and regression workflows
  • Experience diagnosing complex system-level failures where root causes may span software, middleware, networking, compute, sensors, and hardware
  • Experience designing quantitative experiments, defining performance metrics, and analyzing robot telemetry and test data to evaluate system behavior and reliability
  • Strong instincts for testability, observability, reproducibility, and systematic debugging, with the ability to turn ambiguous robot behavior into concrete hypotheses, experiments, and actionable engineering work

The Extras That Set You Apart
  • Experience developing system-level V&V, qualification, or release processes for autonomous robots, vehicles, drones, or other complex physical systems
  • Experience building automated regression testing or large-scale evaluation infrastructure for robotics.
  • Familiarity with simulation, hardware-in-the-loop, fault injection, or scenario-based testing
  • Experience defining reliability metrics, operational performance envelopes, or quantitative release criteria
  • Experience with automated telemetry analysis, experiment management, or fleet-level performance evaluation
  • Experience testing robotic systems in unstructured, dynamic, or safety-critical environments
  • Experience bringing new robotic capabilities from initial integration through production deployment
  • A track record of finding subtle system-level problems that were difficult to reproduce or crossed traditional subsystem boundaries
  • The ability and willingness to get hands-on with robots, understand the complete system, and go wherever the problem leads

Compensation
The salary range for this role is $135,000-$190,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply
$135,000 - $190,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply