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Remote Real World Evidence Rwe Jobs in Virginia (NOW HIRING)

micro1 AI

Private Funds Attorney - Remote

Norfolk, VA · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... real-world legal work, especially those who have deep experience with drafting, reviewing ...

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Remote Real World Evidence Rwe information

What are Remote Real World Evidence (RWE) jobs?

Remote Real World Evidence (RWE) jobs involve gathering, analyzing, and interpreting data from real-world sources—such as electronic health records, insurance claims, patient registries, and wearable devices—to inform healthcare decisions. Professionals in these roles typically work for pharmaceutical companies, research organizations, or healthcare technology firms. Remote RWE jobs allow employees to contribute to research and data analysis from home or other off-site locations, using digital tools to collaborate with teams and stakeholders. These positions are crucial for understanding how medical treatments perform outside of controlled clinical trials, ultimately improving patient care and supporting regulatory submissions.

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

AspectRemote Real World Evidence RweRemote Data Analyst
Required CredentialsAdvanced degrees in healthcare, epidemiology, or biostatistics; experience with RWE methodologiesBachelor's or master's in data science, statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with healthcare providers, pharma companies, and regulatory agencies; focuses on healthcare dataWorks across industries; analyzes large datasets to inform business decisions
Industry UsagePrimarily in healthcare, pharmaceuticals, and regulatory sectorsAcross various sectors including finance, marketing, and healthcare

Remote Real World Evidence Rwe specialists focus on analyzing healthcare data to generate evidence for medical and regulatory decisions, requiring healthcare-specific knowledge. Remote Data Analysts handle diverse datasets across industries, emphasizing data processing and reporting skills. While both roles involve data analysis, RWE roles are more specialized in healthcare and regulatory contexts.

What is a RWE scientist?

A RWE (Real World Evidence) scientist is a professional who analyzes real-world data from sources like electronic health records, claims databases, and patient registries to generate evidence on the effectiveness, safety, and value of healthcare interventions. They typically have expertise in biostatistics, epidemiology, and data analysis tools such as SAS or R, and work within healthcare, pharmaceutical, or research organizations to support decision-making and regulatory submissions.

What is RWE real world evidence?

Real World Evidence (RWE) in the context of a Remote Real World Evidence (RWE) role refers to the clinical evidence derived from analyzing data collected outside traditional clinical trials, such as electronic health records, claims data, and patient registries. Professionals in this field interpret this data to support healthcare decision-making, regulatory submissions, and product development, often using data analysis tools and statistical methods.

What is the most entry level job in clinical research?

The most entry-level job in clinical research is often a Clinical Research Assistant or Coordinator, responsible for supporting study activities, data collection, and documentation. These roles typically require basic knowledge of clinical trial processes, strong organizational skills, and may involve training on specific research tools or protocols.

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

To thrive as a Remote Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, or related life sciences, typically supported by an advanced degree (e.g., MPH, MS, PhD). Familiarity with statistical software such as SAS, R, or Python, and experience working with large healthcare databases and electronic health records are crucial. Excellent analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for stakeholders. These competencies ensure the generation of robust, real-world data analyses that inform healthcare decisions and regulatory submissions.

What is the highest paying job in clinical research?

In clinical research, senior roles such as Clinical Research Director or Vice President of Clinical Operations tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of regulatory requirements and industry standards.

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

Remote RWE professionals often encounter challenges such as managing large and diverse datasets, ensuring data privacy, and coordinating effectively with cross-functional teams across different time zones. To address these, it's important to have strong data management skills, familiarity with relevant regulations (like GDPR or HIPAA), and effective communication tools. Actively engaging in regular virtual meetings and leveraging collaborative platforms can help maintain alignment with stakeholders and ensure project milestones are met.
What are the most commonly searched types of Real World Evidence Rwe jobs in Virginia? The most popular types of Real World Evidence Rwe jobs in Virginia are:
What are popular job titles related to Remote Real World Evidence Rwe jobs in Virginia? For Remote Real World Evidence Rwe jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Real World Evidence Rwe jobs in Virginia look for? The top searched job categories for Remote Real World Evidence Rwe jobs in Virginia are:
What cities in Virginia are hiring for Remote Real World Evidence Rwe jobs? Cities in Virginia with the most Remote Real World Evidence Rwe job openings:
Remote Real World Evidence Rwe jobs near you
Infographic showing various Remote Real World Evidence Rwe job openings in Virginia as of July 2026, with employment types broken down into 3% Internship, 77% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.
Skillbridge Internship- AI Software Engineer (Remote)

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

About Knexus
Do you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!
Position Overview
During your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.
Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.
Key Responsibilities
  • Build unique and custom AI solutions for DoD agencies.
  • Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.
  • Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.
  • Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.
  • Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.
Qualifications and Experience
  • Degree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.
  • Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!
  • Warfare qualification is a plus

You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.
  • Defense Logistics Agency (DLA)
  • Naval Surface and Mine Warfighting Development Center (SMWDC)
  • Surface Warfare Officer School (SWOS)
  • Department Head tour as a Surface Warfare Officer (SWO)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA

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