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Internship Real World Evidence Rwe Jobs in Riverside, CA

AbbVie

Director, HEOR Strategy - Oncology

Irvine, CA · On-site

... RWE, EPE, MPS) and is accountable for project execution, budget and meeting/exceeding ethical ... and real-world evidence, with strong experience in registry and observational study design ...

Friends Church

Internship

Yorba Linda, CA · On-site

$18/hr

The program offers supervised, practical experience within a specific area of ministry, allowing interns to apply classroom learning in a real-world church setting. Interns will have opportunities ...

Friends Church

Internship

Yorba Linda, CA · On-site

$18/hr

The program offers supervised, practical experience within a specific area of ministry, allowing interns to apply classroom learning in a real-world church setting. Interns will have opportunities ...

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Paid Sales Internship -Outside Sales Representative

Orange, CA · On-site

$20/hr

This paid internship provides hands-on training alongside a proven sales professional, giving you real-world experience in business-to-business (B2B) sales within the rapidly growing workplace ...

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Internship Real World Evidence Rwe information

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How much do internship real world evidence rwe jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship real world evidence rwe in Riverside, CA is $16.22, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $18.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Real World Evidence (RWE) professional, and why are they important?

To thrive as an Internship Real World Evidence (RWE) professional, you need a solid background in life sciences, epidemiology, or statistics, often supported by progress toward a relevant degree. Familiarity with data analysis tools like SAS, R, or Python, and experience with healthcare databases or real-world data systems, are typically required. Strong analytical thinking, attention to detail, and collaborative communication skills help interns excel in cross-functional teams and data-driven projects. These competencies are crucial for generating robust, actionable insights from real-world data to inform healthcare decisions and policy.

What is an Internship in Real World Evidence (RWE)?

An Internship in Real World Evidence (RWE) offers students or recent graduates hands-on experience in collecting and analyzing data from real-world sources, such as electronic health records, insurance claims, and patient registries. RWE is used in the pharmaceutical and healthcare industries to evaluate the effectiveness, safety, and value of medical treatments outside controlled clinical trials. Interns may support research studies, help interpret data, and contribute to reports that inform decision-making for healthcare providers and regulators. This type of internship is ideal for those interested in data analysis, public health, and evidence-based medicine.

What types of projects do interns typically work on in a Real World Evidence (RWE) internship?

As an RWE intern, you can expect to contribute to projects involving the collection, analysis, and interpretation of real-world healthcare data, such as electronic health records, claims data, or patient registries. Common responsibilities include supporting data cleaning, conducting literature reviews, assisting with statistical analyses, and preparing reports or presentations for internal teams. You will often collaborate with cross-functional teams including epidemiologists, data scientists, and medical affairs professionals, which provides excellent exposure to various aspects of the pharmaceutical or healthcare industry.

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

AspectInternship Real World Evidence RweData Analyst
Required CredentialsTypically pursuing or recent graduate in healthcare, life sciences, or related fieldsBachelor's degree in statistics, mathematics, computer science, or related fields
Work EnvironmentHealthcare or pharmaceutical companies, research organizations, or academic institutionsVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed in pharmaceutical, biotech, and healthcare sectors for evidence generationWidely used across multiple industries for data analysis and reporting

While both roles involve working with data, an Internship Real World Evidence Rwe focuses on analyzing real-world healthcare data to generate evidence for medical decisions, often within healthcare or pharma settings. A Data Analyst has a broader scope, working with various data types across industries to interpret and visualize data for business insights.

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Internship Real World Evidence Rwe jobs near you
Clinical Research Data Scientist (RWE)

Clinical Research Data Scientist (RWE)

Masimo

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Job Description
Job Summary:
Masimo is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including Real World Data (RWD), trial data (collected internally and externally) and emerging innovative data sources, to support our clinical/scientific programs and regulatory submissions. The Clinical Research Data Scientist- Real World Evidence (RWE) and Outcomes Research will collaborate closely with strategic partners in Clinical Research , Engineering, Marketing, Medical Affairs and Payor Relations to develop and implement evidence and insights to improve patient outcomes and help meet unrealized marketing claims, and support regulatory activities.
Duties & Responsibilities:
Study Design and Statistical Planning
  • Contribute towards study protocols and study designs by developing and maintaining statistical analysis plans, simulation studies, and innovative methodologies tailored to multimodal datasets.
  • Apply rigorous statistical methodologies ensuring reproducibility, robustness, and regulatory readiness.

Evidence Generation
  • Implement real world evidence (RWE) generation strategies using conventional clinical study data and RWD to articulate value, address unmet needs, and support portfolio planning, commercialization, and patient access.

Data Science, Analytics and Management
  • Apply advanced statistical methods to large-scale datasets, including EHRs, claims, registries and longitudinal cohort studies.
  • Develop and execute data management plans across various relational databases, with proficiency in data cleaning, manipulation, and database management.
  • Collaborate with internal and external data management and statistical programming teams to generate research datasets and deliver insights.
  • Dive deep into data to uncover trends, identify key insights, and craft machine learning models to improve the accuracies, minimize resource usage and maximize the ease of use of existing and future Masimo products.
  • Improve data storage architectures and collection protocols

Strategic Business Partnership and Market Access
  • Translate analytical findings, develop compelling narratives, and generate visualizations that connect evidence generation to business objectives, enabling alignment across product development, payer engagement, and policy planning.
  • Collaborate cross-functionally with colleagues across Masimo to meet organizational objectives.
  • Work collaboratively with Payor Relations to support efforts to expand patient access to Masimo Technologies by generating statistical key evidence to support private and public payer coverage decisions

Clinical and Scientific Communication / Publications
  • Collaborate with physicians and clinical experts to develop high-quality clinical papers, abstracts, and presentations, resulting in publications in top-tier, peer-reviewed journals.
  • Communicate findings and methodologies clearly to scientific, clinical, and non-technical stakeholders.

Regulatory, Quality and Compliance
  • Ensure all projects comply with ethical standards, regulatory requirements, and internal quality guidelines.

Minimum & Preferred Qualifications and Experience:
Minimum Qualifications:
  • Minimum 3 years of experience in the medical device, pharma or healthcare industry, preferably in health economics, epidemiology, real-world evidence generation, outcomes research, or related functions.
  • Familiarity with and exposure to clinical development processes, research study designs and data analysis methods to include statistical analyses.

Preferred Qualifications:
  • Experience working with datasets from patient monitoring solutions and wearables (e.g., Blood pressure, Pulse Rate, ECG, Respiratory Rate, EEG, Alarms Data, EMR, hospital administrative metrics) and understanding of their clinical context is desired.
  • Demonstrated experience executing evidence generation strategies using RWD and managing multiple research projects concurrently (e.g., claims, EMR, administrative data, adaptive clinical trial designs).
  • Experience contributing to research activities across the study lifecycle, including developing research questions, assessing data feasibility, supporting study design, analysis, and interpretation.
  • Proficiency in applied statistics, statistical programming and database languages (SQL, R, Python, MATLAB, Pandas etc.)
  • Familiarity with AI frameworks such as Pytorch, Tensorflow, Keras, etc.), desired.
  • Experience working with real-world data (EHR, claims, registries, digital health) and familiarity with their opportunities and limitations.
  • Knowledge of endpoint validation frameworks and regulatory requirements (e.g., FDA/EMA).
  • Experience working with external partners and customers to support market access, portfolio planning, and commercialization initiatives using data and evidence.
  • Experience collaborating with hospitals, physicians, and professional organizations to help advance health economics and reimbursement activities in support of commercialization and sales/marketing objectives.
  • Outstanding organizational, verbal, and written communication skills, with the ability to create statistical visualizations in support of technical and business reports, internal presentations, and publication-ready manuscripts.

Education:
  • Ph.D. or M.S. degree in Bioinformatics, Computational Biology, Computer Science, Health Economics, Mathematics, Physics or similar quantitative discipline preferred.

Compensation: The anticipated range for this position is $100,000 - $140,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance.
  • Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Café. All benefits are subject to eligibility requirements.

Physical requirements/Work Environment
This position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer and other computing and digital devices is required. May stand for extended periods when facilitating meetings or walking in the facilities. Some travel is necessary, approximately 10%.
The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.
#LI-Onsite
About Us
For over thirty years, Masimo has been expanding the boundaries of noninvasive monitoring to improve patient outcomes and reduce the cost of care. Today, Masimo delivers a portfolio of hospital-trusted monitoring solutions to help increase patient safety, health, and wellness in the hospital and at home. When you join our team, you'll be part of a culture that's driven by passion, challenging the status quo, and making an impact in the lives of others.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: click here
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About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

Social media

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