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Real World Evidence Rwe Jobs in Seattle, WA (NOW HIRING)

Truveta

Partner Research & Success Manager

Seattle, WA · On-site +1

Required Skills * 4+ years of experience working in a field which developed exposure to and understanding of real-world data (RWD), real world evidence (RWE), public health research, or regulatory ...

Truveta

Partner Research & Success Manager

Seattle, WA · On-site

Required Skills * 4+ years of experience working in a field which developed exposure to and understanding of real-world data (RWD), real world evidence (RWE), public health research, or regulatory ...

Truveta

Research Analyst Summer Intern

Seattle, WA · Hybrid

$20/hr

This Opportunity We are seeking a Research Analyst Intern to join our team and support the generation of real-world evidence using Truveta's data platform. This role offers a unique opportunity to ...

Truveta

Research Analyst Summer Intern

Seattle, WA · On-site

$20/hr

This Opportunity We are seeking a Research Analyst Intern to join our team and support the generation of real-world evidence using Truveta's data platform. This role offers a unique opportunity to ...

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All JobsReal World Evidence Rwe JobsReal World Evidence Rwe Jobs in Seattle, WA

Real World Evidence Rwe information

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 is the difference between RWE and real-world data?

In the context of a Real World Evidence (RWE) role, real-world data (RWD) refers to the raw data collected from sources like electronic health records, claims databases, and patient registries. RWE is the clinical evidence generated by analyzing and interpreting RWD to inform healthcare decisions, regulatory approvals, and policy making. RWD is the data input, while RWE is the meaningful insights derived from that data through analysis and research methods.

How do you get into RWE?

To enter a role in Real World Evidence (RWE), candidates typically need a background in healthcare, epidemiology, or data science, along with skills in biostatistics and familiarity with electronic health records and real-world data sources. Gaining experience through relevant internships, certifications, or advanced degrees can improve prospects. Proficiency in statistical software and understanding of regulatory requirements are also valuable.

What is Real World Evidence (RWE) in the healthcare industry?

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.

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

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.

How does a Real World Evidence (RWE) professional typically collaborate with cross-functional teams in the pharmaceutical industry?

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 examples of real world evidence?

Real World Evidence (RWE) in the context of a role like a Real World Evidence professional involves data collected from sources outside traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. These data sources are analyzed to assess treatment effectiveness, safety, and healthcare outcomes in real-world settings, often using statistical and data management tools. RWE helps inform healthcare decisions and regulatory approvals by providing insights from diverse patient populations outside controlled environments.

What is RWE real world evidence?

Real World Evidence (RWE) is data collected from real-world settings such as electronic health records, claims data, and patient registries. In the context of a role like a Real World Evidence (RWE) professional, it involves analyzing this data to support healthcare decision-making, regulatory submissions, and clinical research using statistical tools and data management skills.
What are the most commonly searched types of Real World Evidence Rwe jobs in Seattle, WA? The most popular types of Real World Evidence Rwe jobs in Seattle, WA are:
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Real World Evidence Rwe jobs near you
Clinical Development Scientist

Clinical Development Scientist

ComTec Information Systems

Bothell, WA • On-site

Contractor

Posted 5 days ago

Job description

Job Title - Clinical Development Scientist;
Hybrid role. 3 days/week in office
Bothell WA/Cambridge MA/ Plymouth MN

12 Months


Ultrasound, Senior Clinical Development Scientist The Senior Clinical Development Scientist for the Ultrasound group will be responsible for developing, generating, and disseminating clinical and economic evidence ensuring innovation, and transformation with best-in-class clinical evidence. Your role: Contribute strategic guidance for clinical and economic evidence related to the end to end (E2E) development process from ideation through post-market for products in the Ultrasound business. Collaborate with key internal and external stakeholders to provide in-depth expertise to develop and lead clinical initiatives through non-clinical and clinical strategies for new product development initiatives and product life cycle management. Drive execution ensuring quality and timeliness of clinical programs and/or trials to support critical regulatory requirements, be agile and responsive during course of design, execution, and interpretation of trial data. Collaborate with investigators, IRBs/ECs, Regulatory Agencies, societies, and associations; and additionally, to support claims, reimbursement, health economic outcomes and/or market access. Ensure appropriate preparation, interpretation and dissemination of all evidence generated, including Clinical Study Reports (CSRs), Clinical Evaluation Reports (CERs), abstracts, peer-reviewed manuscripts, as assigned. Lead or support scientific discussions with regulatory agencies or notified bodies, including proposed clinical investigations; review process of clinical evidence generated for marketing authorization, in line extensions, including during sponsor regulatory inspections.

You are the right fit if:

You have acquired 7+ years of experience in clinical research/development/real world evidence (RWE); scientific study design, strong scientific background and experience with Artificial Intelligence algorithm clinical performance validation. You have deep expertise including innovative clinical trial design, registries, quality improvement initiatives, and creation of data networks and working knowledge of biostatistics. Your skills include a demonstrated working knowledge of GCP, FDA regulations and EU-MDR regulations, and in-depth understanding of product development and associated design controls for medical devices. You have strong writing skills to product quality clinical documents, including final reports. Strong knowledge and experience with study design is also desired. You have an ability to write original scientific documentation such as clinical study reports, regulatory filings, investigator brochures, clinical evaluation reports, internal reports and scientific publications. You have a medical or scientific education (MD or PhD). You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Clinical position. You are self-directed with a strong work ethic, agile, and have an ability to work in a purposeful environment. You can collaborate effectively and influence decision making with various teams cross-functionally, as well as externally. You can think analytically, present statistical methods and results to a variety of audiences, especially non-statisticians. You can travel up to 15% (domestic and international) according to business needs.,