ZipRecruiter

Log In

1

Real World Evidence Rwe Jobs in Charlotte, NC (NOW HIRING)

next page

Showing results 1-20

All JobsReal World Evidence Rwe JobsReal World Evidence Rwe Jobs in Charlotte, NC

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 Charlotte, NC?

The most popular types of Real World Evidence Rwe jobs in Charlotte, NC are:

What are popular job titles related to Real World Evidence Rwe jobs in Charlotte, NC?

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

What job categories do people searching Real World Evidence Rwe jobs in Charlotte, NC look for?

The top searched job categories for Real World Evidence Rwe jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Real World Evidence Rwe jobs?

Cities near Charlotte, NC with the most Real World Evidence Rwe job openings:

Real World Evidence Rwe jobs near you

Safety Scientist- Real World Evidence (RWE), EMEA

Thermo Fisher Scientific

Cornelius, NC • On-site

Full-time

Re-posted 25 days ago

Key responsibilities

  • Support strategies for safety data generation, assessment, and communications by interacting with Safety Evidence Leads and other stakeholders.

  • Conduct data mining activities to identify data gaps and communicate safety findings promptly.

  • Assist in the design, execution, and reporting of pharmacoepidemiologic studies to address specific safety questions.

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 429 frontline employees who took The Breakroom Quiz

170th of 545 rated manufacturers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Join Us as a Safety Scientist III – Make an Impact at the Forefront of Innovation
We have successfully supported the top 50 pharmaceutical companies and more than 750 biotechs, spanning 2,700 clinical trials across 100+ countries in the last 5 years.
As part of our expert team, you’ll have the opportunity to ensure operational excellence that makes a real difference in patient safety. As a Safety Scientist III, you will be responsible for the planning, coordination, and delivery of signal detection and product safety scientist activities, with a focus on tasks that are low to high in complexity or which concern low to high complexity products. Additionally, you will support the mentoring of more junior colleagues, the development of processes, tools, and systems, and may serve as lead on smaller FSP-type projects.

Roles and Responsibilities

  • Support strategies for safety data generation, assessment, and communications by regular interactions with Safety Evidence Leads and other stakeholders across the organization world-wide, to gather information on topics to be analysed and present findings at internal meetings.
  • Synthesize contributions from multiple sources of data into meaningful insights in order to demonstrate product(s) value.
  • Monitor competitive environment for new safety information, and compares to safety information of our product(s), thus supporting differentiation activities.
  • In collaboration with Safety Evidence Leads and other stakeholders such as Biostatistics and Digital Technology, establish safety evidence information platforms/dashboards and oversees regular updates. Identify areas for innovation including AI/machine learning and similar.
  • Conduct data mining activities on regular basis to identify data gaps, and communicate safety findings promptly.
  • Ensure reproducibility and traceability of analyses through structured workflows and version control.
  • Maintain documentation of data extraction and analyses.
  • Assist in the design, execution, and reporting of pharmacoepidemiologic studies to address specific safety questions.
  • Attends relevant internal and external meetings for training, competitor intelligence, and collaboration with KOLs and other experts.

Skills and Competencies

  • 5+ years of experience in data analysis to understand complex linkages of safety data from various sources, preferably in a pharmaceutical, biotech, or healthcare setting. Experience working with safety databases required, experience with large healthcare datasets (e.g., EHR, claims, registry data) is a plus
  • Proficiency in data extraction from the safety database (e.g. Argus Safety) and generating data insights using adequate digital tools.
  • Ability to identify gaps and translate them into actionable plans, especially cross-functionally, through technological tools (e.g. GenAI, Copilot, automation tools, etc.) without compromising clinical integrity.

Education, Experience and Qualifications

  • Degree in Data Science, Epidemiology, Biostatistics, Public Health, Computer Science, or a related field.
  • Familiarity with data visualization tools such as Tableau or Power BI, safety signal tools such as E
  • Empirica, or cloud-based data platforms. Proficiency in statistical programming languages (e.g., R, SAS, Python) is a plus.
  • Minimum of 5 years working in pharmaceutical/biotech industry.
  • Experience in regulated environments (both GCP and GVP).
  • Experience in RWE generation, pharmacoepidemiology and/or rare disease is a plus.
  • Ability to travel up to 20% of time as needed.


Why Join Us?
When you join Thermo Fisher Scientific, you become part of a global team that values passion, innovation, and a commitment to scientific excellence. You’ll work in an environment where collaboration and development are part of the everyday experience—and where your contributions truly make a difference.
Apply today to help us deliver tomorrow’s breakthroughs.

What Thermo Fisher Scientific employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply