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Real World Evidence Rwe Jobs in Edison, NJ (NOW HIRING)

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Associate Director, MAA & RWE

Raritan, NJ · On-site

Learn more at Associate Director, Market Access Analytics and Real World Evidence (MAA & RWE) - Indirect Treatment Comparisons The Associate Director, Market Access Analytics and Real-World Evidence ...

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Real World Evidence Rwe information

What is real world evidence (RWE)?

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.

How does a real world evidence (RWE) professional collaborate with cross-functional teams?

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 the key skills and qualifications needed to thrive as a real world evidence (RWE) professional?

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.

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 are the most commonly searched types of Real World Evidence Rwe jobs in Edison, NJ?

The most popular types of Real World Evidence Rwe jobs in Edison, NJ are:

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For Real World Evidence Rwe jobs in Edison, NJ, the most frequently searched job titles are:

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

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

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

Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in Edison, NJ as of August 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

RWE/RWD Statistical Analyst(Remote)

TechData Service Company LLC

Princeton, NJ • Remote

$90K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

TechData is looking for Real World Evidence (RWE) statistical analysts. Please see below requirements. TechData offers very competitive and best pay rate and benefits.


Position Summary

The RWE analyst provides statistical expertise for all observational research project sponsored by the US Evidence Based Medicine in protocol development, Statistical Analysis Plan (SAP) preparation and study report. The role needs to ensure that appropriateness of study design, sample size and statistical methodologies are used and adherence to the established standards and SOPs. The role manages the timely execution of statistical and research methodological components of RWE study protocols in order to meet project objectives and has a thorough understanding of current requirements for statistical standards.


Roles/Responsibilities

  • Utilize statistical knowledge of and expertise to provide statistical support for RWE studies, with a main focus of real-world observational studies, database examples:
  • 1)US medical and pharmacy claims databases (e.g. MarketScan); 2) US medical record databases (e.g. GE Healthcare); 3) US government public use databases (e.g. NHANES, MEPS)
  • Specify the structure of the datasets that will be delivered for statistical analysis to ensure that the structure follows any existing company standard for databases pooling.
  • Mock-up, review, and approve tables, listings and graphs specifications.
  • Actively participate in project/study team meetings
  • Establish/negotiate timelines for completion of study-related statistical activities. Ensure the study timelines are met.
  • Conduct observational data analysis, include data management, statistical programming, interpretation of analyses results, and write-up/review the corresponding sections of RWE study report.
  • Produce analysis datasets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and complying with pre-defined project / study standards.
  • Provide oversight of the biostatistics-related activities for RWE studies subcontracted to a CRO:
  • Oversee the CROs work on the preparation of analysis plans, development and validation of computer algorithms for inferential analyses, statistical writing of study reports, and other outsourced analyses as appropriate.
  • Perform quality control procedures to ensure that statistical deliverables conform to the requirements outlined in the SAP


Skills:

  • Working knowledge and experience with bio statistical analysis and R and/or SAS programming.
  • Excellent oral and written communication skills in English are a must.
  • Prior work experience in epidemiology, health economic and outcome research, or clinical research area is a plus.
  • Specific experience and understanding of outcomes research, drug development is an asset
  • Familiarity with observational databases desirable; database examples
  • US medical and pharmacy claims databases (e.g. MarketScan)
  • US medical record databases (e.g. GE Healthcare)
  • US government public use databases (e.g. NHANES, MEPS)
  • Ph.D. in Statistics, epidemiology or related field, or MS with Minimum 2-year experience  in pharmaceutical industry; Strong R programming skills.


TechData is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Company Description

https://quantive.bio/