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Remote Real World Evidence Rwe Jobs in Ashburn, VA

10a Labs

Junior Cyber Investigator

Washington, DC · Remote

$80K - $105K/yr

... remote exploits, or offensive security operations * Familiarity with LLM systems and how AI technology can be misused for cyber operations * Ability to assess the real-world harm potential of ...

10a Labs

Senior Cyber Investigator

Washington, DC · Remote

$114K - $140K/yr

... remote exploits, or offensive security operations * Strong ability to assess the real-world harm potential of technical content, distinguishing genuine offensive uplift from benign or educational ...

micro1 AI

Regulatory Affairs Specialist

Washington, DC · Remote

$50 - $70/hr

Remote micro1 is engaging Regulatory Affairs Specialists to contribute to a customer's project ... Author and review evaluation tasks inspired by real-world agency requests and sponsor response ...

micro1 AI

Compliance Officers

Washington, DC · Remote

$50 - $70/hr

Remote micro1 is engaging Regulatory Affairs Specialists to contribute to a customer's project ... Author and review evaluation tasks inspired by real-world agency requests and sponsor response ...

micro1 AI

Physics Modeling Expert - Remote

Washington, DC · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

YO AI Labs

Healthcare Attorney - Remote

Washington, DC · Remote

$140 - $400/hr

Remote (United States Only) Job Overview We are seeking experienced Healthcare Attorneys to ... Develop practical healthcare legal scenarios and use cases based on real-world challenges. Required ...

Emmes

Safety Manager - Cell and Gene

Rockville, MD · On-site +1

Overview Safety Manager US Remote Emmes Group: Building a better future for us all. Emmes Group is ... PV supervision of RWE (Real WorldEvidence projects); etc.) in close cooperation with other Emmes ...

Oddball

Applied AI/ML Engineer

Washington, DC · On-site +1

Experience building and deploying ML models in real-world applications * Proficiency in Python and ... Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to ...

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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 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 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 most commonly searched types of Real World Evidence Rwe jobs in Ashburn, VA?

The most popular types of Real World Evidence Rwe jobs in Ashburn, VA are:

What are popular job titles related to Remote Real World Evidence Rwe jobs in Ashburn, VA?

For Remote Real World Evidence Rwe jobs in Ashburn, VA, the most frequently searched job titles are:

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Cities near Ashburn, VA with the most Remote Real World Evidence Rwe job openings:

Remote Real World Evidence Rwe jobs near you

Senior Machine Learning Engineer

Clearview AI, Inc.

Washington, DC • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description


Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.

Senior Machine Learning Engineer


Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.

Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

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