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Real World Evidence Rwe Jobs in Ohio (NOW HIRING)

UCB

Medical Outcomes Liaison, Central

Columbus, OH · On-site

$156K - $238K/yr

... and real-world evidence to external stakeholders including integrated delivery networks (IDNs ... Lead execution of the Epilepsy & Rare Syndromes outcomes and RWE engagement strategy across key ...

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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 jobs are there in clinical trials?

Jobs in clinical trials include Clinical Research Coordinators, Clinical Data Managers, Clinical Research Associates, and Study Monitors. These roles involve tasks such as patient recruitment, data collection, monitoring trial progress, and ensuring compliance with regulations, often requiring knowledge of Good Clinical Practice (GCP) and relevant certifications. The work environment is typically in hospitals, research centers, or pharmaceutical companies, with schedules varying from standard to flexible hours.

What is RCT and RWE?

In the context of a Real World Evidence (RWE) role, RCTs (Randomized Controlled Trials) are clinical studies that randomly assign participants to different treatments to assess efficacy, while RWE involves analyzing data from real-world settings like electronic health records and insurance claims to evaluate treatment effectiveness outside controlled trials. Both are important for informing healthcare decisions and regulatory approvals, with RWE complementing RCT data by providing insights from everyday clinical practice.

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 roles in clinical trials?

In clinical trials, roles include Principal Investigator who oversees the study, Study Coordinators who manage daily operations, Data Managers who handle data collection and analysis, and Regulatory Affairs Specialists who ensure compliance with regulations. These roles require specific skills, certifications, and knowledge of Good Clinical Practice (GCP) guidelines to ensure the trial's integrity and participant safety.

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 is RWE in clinical research?

Real World Evidence (RWE) in clinical research refers to data collected from real-world settings outside controlled clinical trials, such as electronic health records, insurance claims, and patient registries. RWE helps researchers and healthcare professionals understand how treatments perform in routine practice and supports decision-making for drug development and regulatory approval.
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Real World Evidence Rwe jobs near you

On-Demand University Content Acquisitions Specialist (Purdue or OSU area)

Genomenon

Columbus, OH

Full-time

Posted 5 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 seeking a reliable, self-motivated individual to support our data acquisition and database development efforts. This role is ideal for someone highly organized, comfortable working independently within a public university environment, and committed to delivering high-quality work on time.

Regular on-site work at a local public university is required. This position is on-demand and requires daily monitoring, though hours may fluctuate throughout the week.

Key Responsibilities
  • Monitor and respond to high-priority requests in a timely manner
  • Use internal tools to identify, collect, and organize requested content
  • Maintain accurate records and ensure requests are completed efficiently
  • Collaborate with the broader Genomenon team and provide additional support as needed to achieve team goals

Required Skills and Qualifications
  • Access to a local university library is required.
  • Strong organizational and time-management skills, with the ability to prioritize urgent requests
  • Excellent written communication skills and the ability to respond professionally and promptly to requests
  • High level of personal accountability and attention to detail
  • Working knowledge of Microsoft Excel
  • Ability to work independently while remaining responsive and dependable in a fast-paced environment
  • Self-starter with a strong work ethic and a positive, solution-oriented min
Location and Schedule

Regular on-site work at a local public university is required. This position is on-demand and requires daily monitoring, though hours may fluctuate throughout the week.

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.