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Entry Level Real World Evidence Jobs (NOW HIRING)

TechData Service Company LLC

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Remote Statistician-Real World Evidence (RWE)

King Of Prussia, PA · Remote

$100K - $160K/yr

The RWE Statistician is involved in planning, conducting and analyzing real-world evidence studies (prospective & retrospective observational study, electronic medical records, claim database ...

Rainbow Properties

Entry Level Real Estate Sales

Fremont, CA · On-site

$89K - $120K/yr

Description Entry-Level Real Estate Who you work with matters. We are looking for a licensed real ... This opportunity is ideal for someone who wants to gain real - world experience, receive ongoing ...

Osmind

Life Sciences Associate

San Francisco, CA · On-site

$110/hr

Turn primary research and real-world evidence into insights that move a commercial project forward Data and evidence * Analyze real-world datasets spanning claims and EHR data to find actionable ...

Osmind

Life Sciences Associate

San Francisco, CA

$110K - $125K/yr

Role overview Osmind powers the largest network of independent psychiatry practices in the country -- 1,000+ clinics -- on top of our own EHR and real-world evidence platform. Our Biosciences team ...

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

As of Sep 4, 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?

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 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 are the key skills and qualifications needed to thrive as an entry level real world evidence 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.

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.

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Entry Level Real World Evidence jobs near you
Infographic showing various Entry Level Real World Evidence job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $41,474 per year, or $19.9 per hour.

Associate Research Scientist, Real World Evidence

Precision AQ

Remote

Full-time

Posted 17 days ago

Job description

Associate Research Scientist - RWE

Are you looking to work with a dynamic team of industry leading professionals in the HEOR space? Is your passion leading Real World Evidence studies that improve healthcare outcomes worldwide? Our Real-World Evidence team is hiring an Associate Research Scientist to join our team of research professionals conducting real-world studies in the pharmaceutical and biotech space, operating as a thought leader, problem solver, and data expert.

This is a fully remote position.

About You:

  • You have experience in the conduct of real-world studies, including data feasibility assessments, developing study protocols, analytic dataset creation, data analyses, and study reports.
  • You can perform data preparation and analyses independently and are comfortable making recommendations to the client and team members on study direction.
  • You can anticipate and identify considerations relevant to the implementation of various approaches, including potential facilitators of and barriers to successful project and task execution.

About The Role:

As an Associate Research Scientist on the RWE team at Precision AQ, you will contribute to multiple projects comprised of cross-functional staff, serving as the analytics expert on the project. You will prepare and perform analyses of primary and secondary data, develop protocols and analysis plans, design RWE studies, and communicate study results internally and externally.

Required Experience:

  • Master's degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health
  • Proficiency in one or more of the following programming languages: R, Python, SQL, or SAS
  • 0-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs
  • Ability to work effectively individually and as part of a diverse team

Helpful Experience:

  • Strong organizational skills, including the ability to meet deadlines and balance competing demands
  • Willingness and desire to learn and share knowledge
  • Excellent oral and written communication skills

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