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Remote Rwe Jobs in Trenton, NJ (NOW HIRING)

COMPASS Pathways

HEOR Science Liaison

Philadelphia, PA · On-site +1

... RWE), pharmacoeconomics, and health outcomes to support informed formulary, coverage, and ... Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ...

COMPASS Pathways

HEOR Science Liaison

Princeton, NJ · On-site +1

... RWE), pharmacoeconomics, and health outcomes to support informed formulary, coverage, and ... Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ...

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Remote Rwe information

What is a remote RWE job?

Remote RWE (Real World Evidence) jobs involve analyzing and interpreting healthcare data collected outside of traditional clinical trials, such as electronic health records, insurance claims, and patient registries, while working remotely. Professionals in this field help pharmaceutical companies, healthcare providers, and regulatory agencies make informed decisions about the safety and effectiveness of medical treatments in real-world settings. Remote RWE roles typically require expertise in data analysis, epidemiology, and biostatistics, and often involve collaborating with cross-functional teams using virtual communication tools.

What skills and qualifications are needed to thrive as a remote Real-World Evidence (RWE) analyst?

To thrive as a Remote Real-World Evidence (RWE) Analyst, you need strong analytical skills, expertise in epidemiology or biostatistics, and typically an advanced degree in a health-related field. Familiarity with statistical software (such as SAS, R, or Python), experience in data visualization tools, and knowledge of healthcare databases are commonly required. Excellent communication, attention to detail, and self-motivation are crucial soft skills for effectively collaborating with remote teams and stakeholders. These skills ensure high-quality, credible real-world data analysis that informs healthcare decisions and supports evidence-based practice.

What are common challenges faced by remote Real-World Evidence (RWE) professionals, and how can they be addressed?

Remote RWE professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring secure and compliant data sharing, and maintaining clear communication in virtual settings. To address these issues, it's helpful to establish regular check-ins, utilize collaborative project management tools, and stay up to date with data privacy regulations. Building strong digital communication skills and participating in virtual team-building activities can also enhance collaboration and productivity in a remote work environment.

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Remote Rwe jobs near you

RWE/RWD Statistical Analyst(Remote)

TechData Service Company LLC

Princeton, NJ • Remote

$90K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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/