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Entry Level Real World Evidence Jobs (NOW HIRING)

Chiesi Group

Real World Evidence - Contractor

Cary, NC · Hybrid

Who we are looking for This is what you will do We are seeking a motivated and detail-oriented contractor to support real-world evidence (RWE) research efforts. This role is well-suited for recent ...

Chiesi Group

Real World Evidence - Contractor

Cary, NC · On-site

Who we are looking for This is what you will do We are seeking a motivated and detail-oriented contractor to support real-world evidence (RWE) research efforts. This role is well-suited for recent ...

KW Whittier

Entry-Level Real Estate

La Mirada, CA · On-site

Description Entry Level Real Estate Who you work with matters. We are looking for a newly licensed ... Through practical coaching and real-world experience, you will strengthen your communication skills ...

KW Whittier

Entry-Level Real Estate

La Mirada, CA · On-site

$160K/yr

Entry Level Real Estate We are seeking a newly licensed or soon-to-be licensed real estate agent ... Collaborate with experienced agents to learn real-world strategies that open escrows * Stay ...

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Entry Level Real World Evidence information

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How much do entry level real world evidence jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level real world evidence in the United States is $19.94, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.36 per hour, depending on experience, location, and employer.

What is an Entry Level Real World Evidence job?

An Entry Level Real World Evidence (RWE) job typically involves supporting research that uses real-world data, such as electronic health records, insurance claims, and patient registries, to generate insights about healthcare outcomes, treatment effectiveness, and patient safety outside of clinical trials. People in these roles assist with data collection, management, analysis, and reporting under the guidance of more experienced researchers. Entry level RWE professionals often work in pharmaceutical companies, research organizations, or healthcare consultancies and help translate real-world data into actionable evidence for decision-making in healthcare.

What types of projects and collaborations can I expect as an Entry Level Real World Evidence (RWE) professional?

As an Entry Level Real World Evidence professional, you will typically support the design and execution of observational studies, data analyses, and literature reviews to generate insights from real-world data. You'll frequently collaborate with cross-functional teams, including epidemiologists, data scientists, and medical affairs, to address research questions and support product value demonstration. These projects often require strong attention to detail and the ability to communicate findings clearly to both technical and non-technical stakeholders. This collaborative environment provides valuable learning opportunities and exposure to a range of healthcare data sources and methodologies.

What is the difference between Entry Level Real World Evidence vs Entry Level Data Analyst?

AspectEntry Level Real World EvidenceEntry Level Data Analyst
Required CredentialsBachelor's in Life Sciences, Healthcare, or related field; familiarity with R, SAS, or SQLBachelor's in Mathematics, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentHealthcare or pharmaceutical companies, research organizationsVarious industries including finance, marketing, healthcare, tech
Employer & Industry UsageUsed in pharmaceutical and healthcare sectors for observational studiesUsed across multiple industries for data analysis and reporting

Entry Level Real World Evidence focuses on analyzing observational healthcare data to support clinical and regulatory decisions, often within healthcare and pharma sectors. Entry Level Data Analyst has a broader scope, working with various data types across industries. While both roles require analytical skills and some similar tools, their focus areas and industry applications differ.

What are the key skills and qualifications needed to thrive as an Entry Level Real World Evidence (RWE) Analyst, and why are they important?

To thrive as an Entry Level Real World Evidence (RWE) Analyst, you need a solid background in life sciences, statistics, or epidemiology, usually supported by a relevant bachelor's or master's degree. Familiarity with data analysis tools such as SAS, R, or Python, as well as experience working with healthcare databases and electronic health records, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and translate data into actionable insights. These skills ensure accurate data interpretation, support evidence-based decision-making, and contribute to impactful healthcare research outcomes.
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Entry Level Real World Evidence jobs near you
HEOR Intern, Real-World Evidence

HEOR Intern, Real-World Evidence

Precision for Medicine

Remote

$20/hr

Internship

Posted 3 days ago

Job description

Essential duties include but are not limited to:
Help streamline internal processes - work directly with the Precision leadership to improve processes and efficiency; investigate optimal research techniques and implementation strategies; update existing tools and documentation to increase adherence to best practices; support development and refinement of interactive tools that use existing real-world evidence analyses.
Support ongoing research projects - assist with literature reviews on diverse healthcare topics; help with real-world evidence studies including protocol development, data programming, and results; develop interactive summaries of real-world evidence analyses; help interpret and communicate quantitative and qualitative findings to internal and external audiences; contribute to reports, results tables, presentations or peer-reviewed manuscripts; participate in client-facing activities; provide administrative project support.
Qualifications
Required:
  • Enrolled in a public health (epidemiology, biostatistics, bioinformatics), economics, data science, life sciences, or healthcare related undergraduate, or preferably, graduate program at an academic institution at the time of recruitment.

Other required:
  • Proven interest in public health, life sciences, or pharmaceutical research and analytics
  • Research experience in epidemiology, public health, health services research, health policy, economics or related fields
  • Foundational knowledge of epidemiologic concepts such as observational study designs, measures of association, and common sources sources of bias and confounding
  • Familiarity / competency with statistical programming tool such as R, SQL, SAS or similar platform
  • Ability to work effectively both individually and as part of a team
  • Detail oriented with exceptional interpersonal and time management skills
  • Keen interest in learning and sharing knowledge
  • Strong academic record
  • Proficiency with Microsoft Office

Preferred:
  • Enrolled in life sciences related advanced degree program
  • Strong understanding of the scientific method; formal training in quantitative methodologies
  • Familiarity with interactive data visualization tools such as R Shiny, Power BI, Tableau, or equivalent platforms
  • Familiarity with working in virtual AWS environment, Git, and Github

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
Reasonable estimate of the current range
$20- $20 USD
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

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