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Real World Evidence Rwe Jobs in Colorado (NOW HIRING)

Frasier

Exercise Specialist | Unpaid Internship

Boulder, CO · On-site

$14.75 - $19.50/hr

Do you value learning in a collaborative, respectful, real-world environment? Frasier is seeking a ... engaging, and evidence-based wellness programming-while learning alongside certified wellness ...

Frontera

Senior Forward Deployed Engineer

Denver, CO · On-site +1

$107K - $147K/yr

Our platform is HIPAA-compliant and designed for the real-world needs of behavioral health teams - from psychologists to ABA therapists. By combining evidence-based care with powerful technology, w ...

Octave

Sr. Data Engineer

Denver, CO

$117K - $141K/yr

With in-person and virtual clinics in multiple states, the company offers evidence-based individual ... AI into real-world use. You will partner closely with data scientists, analysts, and product ...

Project Canary

Senior Software Engineer

Denver, CO

That evidence might come from: * Designing and shipping production systems * Building products from ... Experience That Is Particularly Relevant, Not Required Exposure to complex or real-world data ...

CONMED

Senior Director, Clinical Affairs

Englewood, CO

$199K - $308K/yr

Design and oversee clinical trials that demonstrate safety, efficacy, and real-world performance ... Evidence Generation & Regulatory Support * Generate clinical evidence to support regulatory ...

Ethos Risk Services

Entry-Level Investigator

Denver, CO

$48K - $60K/yr

... in the real world? Our Full-Time Entry-Level Field Investigator position will help launch your ... Perform covert surveillance from your vehicle by tracking and capturing high-quality video evidence ...

BehaviorSpan

Acquire-Site Reliability Engineer

Denver, CO · On-site

$90K - $105K/yr

We are looking for someone with real-world SRE, DevOps, infrastructure, and production-engineering ... incident evidence, vendor/tooling review, and the runbooks that support a regulated healthcare ...

Ethos Risk Services

Entry-Level Investigator

Denver, CO · On-site

$48K - $60K/yr

... in the real world? Our Full-Time Entry-Level Field Investigator position will help launch your ... Perform covert surveillance from your vehicle by tracking and capturing high-quality video evidence ...

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All JobsReal World Evidence Rwe JobsReal World Evidence Rwe Jobs in Colorado

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 Colorado? The most popular types of Real World Evidence Rwe jobs in Colorado are:
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Real World Evidence Rwe jobs near you
Professor (Legal & Healthcare) - AI Trainer

Professor (Legal & Healthcare) - AI Trainer

micro1 AI

Denver, CO • Remote

$20 - $60/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Title: Academic Researcher


Job Type: Contractor


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Key Responsibilities:

  1. Conduct in-depth research and analysis in your area of expertise, delivering high-quality, evidence-based insights.
  2. Prepare, format, and review complex documents in Word and PDF, utilizing advanced features such as tracked changes, form filling, and data extraction.
  3. Collaborate with cross-functional teams, including legal, healthcare, policy, and finance professionals, to support diverse project needs.
  4. Translate complex research findings into clear, concise reports and presentations tailored for Fortune 500 standards.
  5. Evaluate and synthesize academic literature, legal documents, or industry data to inform project outcomes.
  6. Ensure accuracy, consistency, and compliance with designated guidelines in all written deliverables.
  7. Maintain clear and professional written and verbal communication with project stakeholders and team members.


Required Skills and Qualifications:

  1. Minimum 3+ years of relevant professional experience in academic research, legal, policy, healthcare, or related sectors.
  2. Master’s degree, PhD, or JD from a recognized institution.
  3. Demonstrated expertise in preparing and reviewing Word and PDF documents (tracked changes, formatting, data extraction, document review).
  4. Outstanding written and verbal communication skills; meticulous attention to detail.
  5. Ability to manage multiple priorities in a remote, deadline-driven environment.
  6. Experience collaborating with multidisciplinary teams on complex deliverables.
  7. Proven record of producing high-quality, client-ready outputs.


Preferred Qualifications:

  1. Experience working with or for Fortune 500 companies.
  2. Prior involvement in legal, healthcare, policy, or financial operations document workflows.
  3. Active publication or presentation record in academic or industry settings.

Apply