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

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Senior Counsel - Remote

Roanoke, VA · Remote

$140 - $400/hr

Remote micro1 is engaging lawyers to contribute their subject-matter expertise in support of a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Showing results 21-40

Remote Real World Evidence Rwe information

What is a remote real world evidence RWE professional?

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

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 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 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:
Infographic showing various Remote Real World Evidence Rwe job openings in Virginia as of August 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)

Knexus

Vienna, VA • On-site, Remote

Full-time

Re-posted yesterday


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