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Remote Health Informatics Jobs in Virginia (NOW HIRING)

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven ... Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for ...

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Remote Health Informatics information

What are some common challenges faced by professionals working in remote health informatics roles, and how can they be overcome?

One common challenge in remote health informatics is ensuring secure and efficient access to sensitive health data while working off-site, which requires strong familiarity with data privacy regulations and cybersecurity protocols. Additionally, remote professionals often need to collaborate closely with clinical teams and IT staff across different locations, necessitating excellent communication and project management skills. To overcome these challenges, it's important to stay current with industry best practices, participate in regular virtual meetings, and leverage secure collaboration platforms to maintain strong teamwork and compliance.

What Are Remote Health Informatics Jobs?

A remote health informatics job is a supportive administrative position in health care that allows you to work from home. Your responsibilities involve the development of methods to organize, analyze, and monitor patient records. Your duties are to track patient data, review medical policies and procedures, create and store documents, and work to improve clinical care. Remote health informatics professionals communicate through email and phone calls with IT staff and administrators and have limited direct contact with patients. Opportunities are available in hospitals, medical offices, and health care organizations as directors, managers, and analysts.

What is the difference between Remote Health Informatics vs Remote Medical Coding?

AspectRemote Health InformaticsRemote Medical Coding
Required CredentialsBachelor's degree in health informatics, IT, or related field; certifications like RHIA or RHITCertification such as CPC, CCS, or CCA; high school diploma or equivalent often required
Work EnvironmentHealthcare organizations, hospitals, clinics, or remote settings involving data managementMedical offices, billing companies, or remote coding jobs for healthcare providers
Industry UsageUsed across healthcare IT, data analysis, and health information managementPrimarily in medical billing, coding, and reimbursement processes

Remote Health Informatics focuses on managing healthcare data, improving systems, and supporting clinical decision-making, often requiring a background in health information management. Remote Medical Coding involves translating medical records into standardized codes for billing and insurance, requiring coding certifications. While both roles are remote and healthcare-related, they differ in responsibilities, credentials, and industry applications.

What are the key skills and qualifications needed to thrive as a Remote Health Informatics Specialist, and why are they important?

To thrive as a Remote Health Informatics Specialist, you need a solid background in health information management, data analysis, and familiarity with healthcare regulations, often supported by a degree in health informatics or a related field. Experience with electronic health record (EHR) systems, health information exchanges, and certifications like RHIA or CAHIMS are typically required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting complex data and collaborating with remote teams. These skills enable accurate data management, regulatory compliance, and informed decision-making in a technology-driven healthcare environment.

What is remote health informatics?

Remote health informatics is the field of managing and analyzing health information data using technology, often from a location outside of traditional healthcare settings. Professionals in this field work with electronic health records, telemedicine platforms, and health data systems to improve patient care, streamline workflows, and ensure data security. Remote roles in health informatics allow individuals to contribute to healthcare innovation and support clinical decisions from anywhere, leveraging digital tools and cloud-based systems. This flexibility makes it possible for healthcare organizations to access specialized expertise regardless of geographic boundaries.
What are the most commonly searched types of Health Informatics jobs in Virginia? The most popular types of Health Informatics jobs in Virginia are:
What cities in Virginia are hiring for Remote Health Informatics jobs? Cities in Virginia with the most Remote Health Informatics job openings:
Infographic showing various Remote Health Informatics job openings in Virginia as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 100% Remote job distribution.
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Halvik

Vienna, VA • On-site, Remote

$140K - $150K/yr

Full-time

Posted 18 days ago


Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special!
Role and Responsibilities
Model Development
  • Collaborate with data scientists and SMEs to develop ML models using curated datasets.
  • Conduct experiments, prototypes, and proof-of-concepts to validate model performance.
  • Create scalable and reusable training pipelines using Databricks notebooks and MLflow.

Implementation and Optimisation
  • LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps
  • Operationalize models with robust CI/CD workflows.
  • Deploy models usingMLflow, SageMaker, or custom APIs.
  • Monitor production models for accuracy, drift, and latency; manage retraining schedules.

Data Integration & Architecture Alignment
  • Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture.
  • Engineer high-quality features and maintain training/inference pipelines.

Cloud and Platform Engineering
  • Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions.

Collaboration & Documentation
  • Document ML artifacts, processes, and performance outcomes.
  • Contribute to agile project ceremonies and maintain a feedback loop with stakeholders.
  • Share knowledge and mentor junior team members.

Required Skills:
  • 5+ years of experience in ML Engineering or Applied Machine Learning.
  • Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
  • Proficient with Databricks, MLflow, and PySpark.
  • Solid understanding of model lifecycle and MLOps practices.
  • Experience with AWS-based data infrastructure and related DevOps practices.
  • Demonstrated ability to productionize models and integrate with business system
  • Strong understanding of mathematics and statistics relevant to machine learning and AI.
  • Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.).
  • Solid background in software engineering principles and best practices.
  • Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.).
  • Practical experience with LLMs, RAGs, and AI agent architectures.
  • Proficiency with the Databricks platform for data engineering and ML pipelines.
  • Advanced programming skills in Python.
  • Excellent communication and teamwork abilities.

Preferred Skills:
  • Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions
  • Business acumen and ability to align AI solutions with organizational goals.
  • Optimize compute and storage resources for performance and cost-efficiency.

Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.