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Real World Evidence Rwe Jobs in Colorado (NOW HIRING)

Taylor Strategy Partners

Key Account Manager

Denver, CO · On-site

Engage compliantly in value-based discussions, including health economic, outcomes, and real-world evidence conversations tailored to institutional priorities. * Ensure alignment between enterprise ...

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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.
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Real World Evidence Rwe jobs near you
National Account Director, Business Development -- RWE/Pharma (Remote US)

National Account Director, Business Development -- RWE/Pharma (Remote US)

Genomenon

Denver, CO • Remote

Full-time

Posted 23 days ago

Job description

Our Company

Genomenon is an AI-driven genetic intelligence company on a mission to save and improve lives by making biomedical information actionable. Rare diseases and cancer affect more than 30 million people in the U.S. alone and hundreds of millions globally, yet most patients still face long diagnostic journeys and limited treatment options. Our goal is clear and ambitious: to deliver the information that shapes diagnosis and treatment for every rare disease and cancer patient.

We sit at the intersection of AI, genomics, and real world evidence. Genomenon transforms the global scientific literature into a literature derived, real world evidence (RWE) engine for precision medicine—combining large-scale AI with expert human curation to deliver clean, clinically actionable datasets. This approach fills critical gaps left by EHR and claims data, especially in rare disease and oncology, by showing how patients actually present, progress, and respond to therapy.

We turn vast, complex biomedical data—spanning genomics, clinical evidence, and scientific literature—into trusted intelligence that helps clinicians make better diagnostic and therapeutic decisions, and supports life sciences organizations in bringing better therapies to market faster.

Our work has real, measurable impact. Genomenon's platforms and services are used by more than 250 clinical laboratories and pharma organizations worldwide to support diagnostic interpretation, variant curation, and evidence-based decision-making across the drug development lifecycle.

Each year, our technology helps inform care for tens of thousands of patients facing rare, complex, and time-sensitive conditions—reducing uncertainty and delivering answers when they matter most.

What makes Genomenon unique is our ability to support both clinical diagnostics and pharmaceutical innovation on a shared foundation of advanced AI, deep domain expertise, and rigorously curated data.

  • In the clinic, our solutions directly influence real world patient outcomes.
  • In pharma, we enable teams to harness literature derived RWE across clinical trial development, regulatory, and commercial workflows—turning fragmented biomedical knowledge into a strategic asset and emerging as the trusted data layer for genomic diagnostics and precision therapeutics.

If you're motivated by impact, energized by complexity, and excited to help shape the future of rare disease diagnosis and treatment, there's no better place to do that work.

Genomenon /ge.gno.mai.non/
Source language: ancient Greek
  1. Verb
    to come into being
    to be born out of need
  2. Noun
    the leader in genomic intelligence
Our Community

Genomenon team members are thoughtful, ambitious, and mission-driven professionals working across states and countries. Our team brings together scientists, clinicians, engineers, and commercial leaders who collaborate as equals and learn from one another every day.

We value curiosity, accountability, and people who thrive in fast-moving, high-impact environments.

We are guided by our core values:

  • Always Learning: Approach challenges with curiosity and a growth mindset
  • Data-Driven: Ask a lot of questions and look to the evidence for answers
  • Humbly Confident: Aware of the value that we and others bring to the team
  • Customer & Patient Driven: Put patients and customers first in everything we do
  • True Grit: Embody passion and persistence, and aren't afraid of hard work
About the Opportunity

Genomenon is expanding its Pharma Business Development team to accelerate growth in our Real-World Evidence (RWE) partnerships. In this role, you will own strategic sales of our genomic and RWE data solutions to a strategically selected list of pharmaceutical and biotech companies.

This is a senior, consultative role responsible for identifying, engaging, and growing relationships with Clinical Development, Medical Affairs, Regulatory, and Diagnostic teams within pharmaceutical and biotech organizations — helping them apply genomics to drive smarter trial design, faster regulatory submissions, and more precise commercialization.

You'll collaborate closely with our scientific, customer success, marketing, and product teams to deliver high-impact solutions and expand our footprint within major pharma accounts.

Position ResponsibilitiesNew Business Development
  • Prospect, qualify, and close new business with assigned pharmaceutical and biotech organizations.
  • Execute discovery and validation meetings that uncover high-value use cases spanning early-stage Clinical Development through Commercialization.
  • Lead complex, multi-stakeholder sales cycles through contract close, ensuring clarity of value and ROI.
Pipeline Management
  • Build and maintain a disciplined pipeline through proactive outreach via email, phone, LinkedIn, and industry events.
  • Maintain precise opportunity tracking, forecasting, and documentation in Salesforce, while leveraging Salesloft to track prospecting efforts.
  • Continuously assess territory strategy to ensure balanced opportunity coverage and account prioritization.
Customer & Market Engagement
  • Serve as the voice of the customer, providing actionable insights to Product, Marketing, and Delivery teams.
  • Represent Genomenon at conferences and industry events, positioning our solutions to key pharma audiences.
Collaboration & Planning
  • Partner with Field Application Scientists and internal stakeholders to scope and deliver impactful pilot projects.
  • Develop and execute account plans, set quarterly objectives, and report progress against strategic and revenue targets.
About You

You are a seasoned, strategic business developer with deep experience selling data-driven or scientific solutions to pharmaceutical and biotech organizations. You combine scientific literacy with commercial acumen and thrive on landing and expanding business in complex, matrixed environments.

You bring:
  • Genetic Counselor credential or equivalent scientific background in genomics or precision medicine.
  • 5+ years of experience selling software, data, or RWE solutions into pharmaceutical companies.
  • Proven success managing relationships and driving genomic data sales to Clinical Development, Medical Affairs, Regulatory, or Diagnostic teams.
  • Expertise in long-cycle, consultative enterprise sales, consistently exceeding quota.
  • The ability to translate complex scientific and data concepts into clear business value.
  • A disciplined, self-starting approach to territory management, prospecting, and forecasting.
  • Exceptional communication and interpersonal skills, with credibility at the executive level.
Nice to Have
  • Experience working with Medical Affairs or Evidence Generation teams.
  • Familiarity with clinical data sources such as registries and published literature.
  • Comfort with AI/ML concepts and bioinformatics workflows.

This is a chance to help pharmaceutical companies rethink what's possible in evidence generation — turning genomic data into actionable RWE that accelerates development, improves diagnostic yield, and expands indications.

You'll be part of a mission-driven, science-led culture where purpose and rigor go hand in hand.

Our Commitment

Building a great company starts with building a diverse and inclusive team. We believe that people with different backgrounds, perspectives, and life experiences help us solve harder problems and build better solutions.

Genomenon is committed to inclusion across race, gender, age, religion, identity, disability, and background — in how we hire, how we work, and how we lead.

If you're excited about the role but unsure whether you meet every qualification, we encourage you to apply. We'd rather review one more resume than miss the chance to meet someone exceptional.