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Remote Rwe Jobs in New Jersey (NOW HIRING)

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Remote Rwe information

What are Remote RWE jobs?

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 are some 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.

What are the key skills and qualifications needed to thrive as a Remote Real-World Evidence (RWE) Analyst, and why are they important?

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 the most commonly searched types of Rwe jobs in New Jersey? The most popular types of Rwe jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Rwe jobs? Cities in New Jersey with the most Remote Rwe job openings:
Infographic showing various Remote Rwe job openings in New Jersey as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution.
Director, Epidemiology Causal Inference

Director, Epidemiology Causal Inference

RTI International

Glassboro, NJ โ€ข On-site, Remote

Full-time

Posted 19 days ago


Job description


About the Hiring Group

RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. With offices in the US, UK, Spain, France, and Sweden, we provide healthcare consulting and research expertise to optimize decision making for pharmaceutical, biotechnology, and medical device products across the development and marketing lifecycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our various practice areas include Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth.

The Epidemiology / Regulatory Real-World Evidence (RWE) team, within RTI-HS is currently based in the US (NC, MA, other), and Spain (Barcelona). We are active members of the International Society for Pharmacoepidemiology (ISPE) and the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP) and the Information about our studies can be found in RTI Health Solutions (RTI-HS) | HMA-EMA Catalogues of real-world data sources and studies

Remote work options within the EU/UK are available, with Barcelona as the preferred work location
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At RTI-HS, you will be provided with the opportunity to conduct meaningful work in a collaborative, cross-functional environment and flexible work schedule.

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What You'll Do

We are looking for an individual with the right combination of skills and experience to support our research focused on the strategy, design, and implementation of pharmacoepidemiologic and other regulatorygrade realworld evidence (RWE) studies.

In this role, you will provide leadership in causal inference methods, including target trial emulation, and guide the design and implementation of these research activities, ensuring robust application of causal inference throughout the research process.

You will:

  • Lead the development of study protocols and contribute to statistical analysis plans.
  • Review analytical outputs, interpret results, and develop study reports and manuscripts.
  • Lead proposal development and oversee project delivery from initiation to completion.
  • Mentor colleagues and contribute to the development of internal scientific capabilities.
  • Support interactions with clients and research partners throughout the research lifecycle.

To be successful in this role, you will possess:

  • Strong written, verbal, and presentation skills, with the ability to communicate effectively in a collaborative, crossfunctional environment.
  • The ability to establish and maintain effective working relationships with research and operations staff, partners, and clients across multiple locations and under tight timelines.
  • Experience leading projects, including document writing, budget planning, proposal development, and project communications,ย  and the ability to support other project leads when needed.

What You'll Need
  • PhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued
  • At least 10 years of experience in the field of pharmacoepidemiology/ regulatory grade RWE with publications in peer reviewed journals and participation in professional societies, and working groups
  • Solid training in causal inference with evidence of applied research leadership and implementation with publications in peer reviewed journals and participation in professional societies, working groups and networks
  • Demonstrated understanding of good pharmacoepidemiology/RWE practice and international research networks in pharmacoepidemiology
  • Ability to perform duties that require close attention to detail.
  • Experience working within or with pharmaceutical companies or within an established pharmacoepidemiology research organization is highly valued.
  • Working language is English, additional languages valued.
Qualifications:
  • PhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued
  • At least 10 years of experience in the field of pharmacoepidemiology/ regulatory grade RWE with publications in peer reviewed journals and participation in professional societies, and working groups
  • Solid training in causal inference with evidence of applied research leadership and implementation with publications in peer reviewed journals and participation in professional societies, working groups and networks
  • Demonstrated understanding of good pharmacoepidemiology/RWE practice and international research networks in pharmacoepidemiology
  • Ability to perform duties that require close attention to detail.
  • Experience working within or with pharmaceutical companies or within an established pharmacoepidemiology research organization is highly valued.
  • Working language is English, additional languages valued.
Education:UNAVAILABLEEmployment Type: FULL_TIME