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Remote Real World Evidence Rwe Jobs in Vienna, VA

About Evidence Action At Evidence Action, we deliver data-driven interventions that transform lives ... Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm ...

About Evidence Action At Evidence Action, we deliver data-driven interventions that transform lives ... Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm ...

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Remote Real World Evidence Rwe information

What are Remote Real World Evidence (RWE) jobs?

Remote Real World Evidence (RWE) jobs involve gathering, analyzing, and interpreting data from real-world sources—such as electronic health records, insurance claims, patient registries, and wearable devices—to inform healthcare decisions. Professionals in these roles typically work for pharmaceutical companies, research organizations, or healthcare technology firms. Remote RWE jobs allow employees to contribute to research and data analysis from home or other off-site locations, using digital tools to collaborate with teams and stakeholders. These positions are crucial for understanding how medical treatments perform outside of controlled clinical trials, ultimately improving patient care and supporting regulatory submissions.

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

AspectRemote Real World Evidence RweRemote Data Analyst
Required CredentialsAdvanced degrees in healthcare, epidemiology, or biostatistics; experience with RWE methodologiesBachelor's or master's in data science, statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with healthcare providers, pharma companies, and regulatory agencies; focuses on healthcare dataWorks across industries; analyzes large datasets to inform business decisions
Industry UsagePrimarily in healthcare, pharmaceuticals, and regulatory sectorsAcross various sectors including finance, marketing, and healthcare

Remote Real World Evidence Rwe specialists focus on analyzing healthcare data to generate evidence for medical and regulatory decisions, requiring healthcare-specific knowledge. Remote Data Analysts handle diverse datasets across industries, emphasizing data processing and reporting skills. While both roles involve data analysis, RWE roles are more specialized in healthcare and regulatory contexts.

What is a RWE scientist?

A RWE (Real World Evidence) scientist is a professional who analyzes real-world data from sources like electronic health records, claims databases, and patient registries to generate evidence on the effectiveness, safety, and value of healthcare interventions. They typically have expertise in biostatistics, epidemiology, and data analysis tools such as SAS or R, and work within healthcare, pharmaceutical, or research organizations to support decision-making and regulatory submissions.

What is RWE real world evidence?

Real World Evidence (RWE) in the context of a Remote Real World Evidence (RWE) role refers to the clinical evidence derived from analyzing data collected outside traditional clinical trials, such as electronic health records, claims data, and patient registries. Professionals in this field interpret this data to support healthcare decision-making, regulatory submissions, and product development, often using data analysis tools and statistical methods.

What is the most entry level job in clinical research?

The most entry-level job in clinical research is often a Clinical Research Assistant or Coordinator, responsible for supporting study activities, data collection, and documentation. These roles typically require basic knowledge of clinical trial processes, strong organizational skills, and may involve training on specific research tools or protocols.

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

To thrive as a Remote Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, or related life sciences, typically supported by an advanced degree (e.g., MPH, MS, PhD). Familiarity with statistical software such as SAS, R, or Python, and experience working with large healthcare databases and electronic health records are crucial. Excellent analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for stakeholders. These competencies ensure the generation of robust, real-world data analyses that inform healthcare decisions and regulatory submissions.

What is the highest paying job in clinical research?

In clinical research, senior roles such as Clinical Research Director or Vice President of Clinical Operations tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of regulatory requirements and industry standards.

What are some common challenges faced by Remote Real World Evidence (RWE) professionals and how can they be addressed?

Remote RWE professionals often encounter challenges such as managing large and diverse datasets, ensuring data privacy, and coordinating effectively with cross-functional teams across different time zones. To address these, it's important to have strong data management skills, familiarity with relevant regulations (like GDPR or HIPAA), and effective communication tools. Actively engaging in regular virtual meetings and leveraging collaborative platforms can help maintain alignment with stakeholders and ensure project milestones are met.
What job categories do people searching Remote Real World Evidence Rwe jobs in Vienna, VA look for? The top searched job categories for Remote Real World Evidence Rwe jobs in Vienna, VA are:
What cities near Vienna, VA are hiring for Remote Real World Evidence Rwe jobs? Cities near Vienna, VA with the most Remote Real World Evidence Rwe job openings:

Data Scientist-HEOR

ADVI Health LLC

Washington, DC • On-site, Remote

$90K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Description

About Us

ADVI Health: Expert Advice. Clear Vision.

Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators, worldwide. 



We are a collaborative team of consultants and advisors, all of whom are veterans of top healthcare and life sciences organizations, the federal government, state government, top consultants, nonprofits, commercial payers, or data and analytics companies. Our work cuts through complexity across asset, franchise, corporate, and executive level strategy, shapes markets, and enables therapies to launch faster, smarter, and at scale in multiple therapeutic areas, lifecycle stages, and areas of the world. Our global client roster includes biopharma manufacturers, MedTech, precision medicine diagnostics and tools companies, and cancer provider and patient organizations, from the C-suite down and across the product lifecycle. We solve complicated problems with data-informed commercialization, market access, and policy expertise. Based in Washington, DC and Austin, TX, the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business, policy, and science to find creative solutions through data, learned insight, and compelling strategy to help clients make decisions across all healthcare segments. 



ADVI is at the forefront of healthcare delivery transformation, payment reform, public and private payer coverage, and healthcare merger and acquisition deal flow within the US and abroad. Learn more... visit us at www.advi.com



Position Overview: 

We are seeking a Data Scientist to join our growing Strategic Analytics, Value, and Economics team. In this role, you'll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. You'll work with rich, real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy, pricing, and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments reach the patients who need them most. 


The person in this role will perform healthcare claims-based analytics for a variety of internal and client-facing teams. Analytics work will include health economics and outcomes research (HEOR), market basket assessment of diseases or treatment usage, and related evidence-generation studies.


Job Duties

Designing and executing analyses in Medicare and Medicaid healthcare claims

Lead in the development and production of deliverables (Excel workbooks and power point decks) as well as communicating results to shareholders

Manage data analysts and assist in the QA of programs and analyses


Requirements

  • Master's or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field
  • At least 3 years of professional experience with SAS, SQL, or other relevant programming experience applying data science in healthcare, HEOR, or life sciences.
  • Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical trial data).
  • Experience working with data offered in the CMS' Chronic Condition Warehouse
  • Experience working in the Virtual Research Data Center (VRDC) offered by CCW
  • Experience working with data in Medicare Standard Analytic Files (SAF), Research Identifiable Files (RIF), or Medicaid T-MSIS data

Location

Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements.

Compensation and Benefits

The salary range is $90,000-$140,000 annual base salary plus bonus plan. Exceptionally qualified candidates will be evaluated according to experience levels. Please include your salary requirements with your application if they exceed the posted range. ADVI offers an outstanding benefits package, including the following:


Medical, dental, and vision

8 paid holidays, including one ADVI Anniversary Day per calendar year

401(k) retirement contribution match, up to 3 percent of salary, with immediate vesting

Health Reimbursement Account

Life and short-term and long-term disability insurance

Paid vacation and sick leave


Diversity Statement

ADVI's commitment to diversity, equity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then build an environment where you can become the best version of yourself.

 
 

Our Vision 

To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide.

 
 

Our Mission 

To provide life science and healthcare innovators the benefit of our team's wisdom, empathy, and creativity that, through data-informed strategy, generates evidence to optimize outcomes and, through tech-enabled access solutions, creates opportunities and expands care.

 
 

Our Values

Act with Integrity 

Strive for Excellence 

Make an Impact 

Think smart, Stay curious

Celebrate the Journey, not just the results 

We look forward to hearing from you!


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