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Internship Real World Evidence Rwe Jobs in Edison, NJ

COMPASS Pathways

HEOR Science Liaison

New York, NY · On-site +1

The HEOR Science Liaison delivers credible, non-promotional scientific exchange across clinical evidence, real-world evidence (RWE), pharmacoeconomics, and health outcomes to support informed ...

COMPASS Pathways

HEOR Science Liaison

Princeton, NJ · On-site +1

The HEOR Science Liaison delivers credible, non-promotional scientific exchange across clinical evidence, real-world evidence (RWE), pharmacoeconomics, and health outcomes to support informed ...

H1

Staff Data Engineer- RWE

New York, NY · On-site

$190K - $220K/yr

WHAT YOU'LL DO AT H1 You'll be the senior-most data engineer on the Real World Evidence (RWE) team, owning the claims pipelines that are becoming H1's largest and most important datasets. This is a ...

Zealandpharma

Director, US HEOR & RWE

New York, NY · Remote

This leader will generate high-quality real-world, clinical, and economic evidence to demonstrate ... Lead the external dissemination of HEOR/RWE deliverables including publications, presentations, and ...

Zealand Pharma

Director, US HEOR & RWE

New York, NY · Remote

This leader will generate high-quality real-world, clinical, and economic evidence to demonstrate ... Lead the external dissemination of HEOR/RWE deliverables including publications, presentations, and ...

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Internship Real World Evidence Rwe information

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How much do internship real world evidence rwe jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship real world evidence rwe in Edison, NJ is $16.09, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $18.17 per hour, depending on experience, location, and employer.

What is an internship in real world evidence (RWE)?

An Internship in Real World Evidence (RWE) offers students or recent graduates hands-on experience in collecting and analyzing data from real-world sources, such as electronic health records, insurance claims, and patient registries. RWE is used in the pharmaceutical and healthcare industries to evaluate the effectiveness, safety, and value of medical treatments outside controlled clinical trials. Interns may support research studies, help interpret data, and contribute to reports that inform decision-making for healthcare providers and regulators. This type of internship is ideal for those interested in data analysis, public health, and evidence-based medicine.

What types of projects do interns typically work on in a real world evidence (RWE) internship?

As an RWE intern, you can expect to contribute to projects involving the collection, analysis, and interpretation of real-world healthcare data, such as electronic health records, claims data, or patient registries. Common responsibilities include supporting data cleaning, conducting literature reviews, assisting with statistical analyses, and preparing reports or presentations for internal teams. You will often collaborate with cross-functional teams including epidemiologists, data scientists, and medical affairs professionals, which provides excellent exposure to various aspects of the pharmaceutical or healthcare industry.

What are the key skills and qualifications needed to thrive as an internship real world evidence (RWE) professional?

To thrive as an Internship Real World Evidence (RWE) professional, you need a solid background in life sciences, epidemiology, or statistics, often supported by progress toward a relevant degree. Familiarity with data analysis tools like SAS, R, or Python, and experience with healthcare databases or real-world data systems, are typically required. Strong analytical thinking, attention to detail, and collaborative communication skills help interns excel in cross-functional teams and data-driven projects. These competencies are crucial for generating robust, actionable insights from real-world data to inform healthcare decisions and policy.

What is the difference between Internship Real World Evidence Rwe vs Data Analyst?

AspectInternship Real World Evidence RweData Analyst
Required CredentialsTypically pursuing or recent graduate in healthcare, life sciences, or related fieldsBachelor's degree in statistics, mathematics, computer science, or related fields
Work EnvironmentHealthcare or pharmaceutical companies, research organizations, or academic institutionsVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed in pharmaceutical, biotech, and healthcare sectors for evidence generationWidely used across multiple industries for data analysis and reporting

While both roles involve working with data, an Internship Real World Evidence Rwe focuses on analyzing real-world healthcare data to generate evidence for medical decisions, often within healthcare or pharma settings. A Data Analyst has a broader scope, working with various data types across industries to interpret and visualize data for business insights.

What job categories do people searching Internship Real World Evidence Rwe jobs in Edison, NJ look for?

The top searched job categories for Internship Real World Evidence Rwe jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Internship Real World Evidence Rwe jobs?

Cities near Edison, NJ with the most Internship Real World Evidence Rwe job openings:

Internship Real World Evidence Rwe jobs near you
Infographic showing various Internship Real World Evidence Rwe job openings in Edison, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $33,472 per year, or $16.1 per hour.

Healthcare Data Scientist (RWD)

Medeloop

New York, NY

Full-time

Posted 16 days ago

Job description

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams.

Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations.

Role & Responsibilities

  • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.
  • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.
  • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations.
  • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses.
  • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop.
  • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight.
  • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.
Requirements
  • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate.
  • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health.
  • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).
  • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background.
  • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data.
  • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs.
  • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).
Nice to Have
  • Experience working directly with customers and in a sales capacity.
  • Industry background strongly preferred over consulting (industry candidates preferred over consultants).