$100K - $120K/yr
Competitive annual salary of $100,000-$120,000 . * Full-time opportunity with a remote working model . * Opportunity to work on cutting-edge AI, machine learning, and GenAI solutions. * Hands-on ...
$100K - $120K/yr
Competitive annual salary of $100,000-$120,000 . * Full-time opportunity with a remote working model . * Opportunity to work on cutting-edge AI, machine learning, and GenAI solutions. * Hands-on ...
Remote Health Informatics information
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 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 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 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 is the difference between Remote Health Informatics vs Remote Medical Coding?
| Aspect | Remote Health Informatics | Remote Medical Coding |
|---|---|---|
| Required Credentials | Bachelor's degree in health informatics, IT, or related field; certifications like RHIA or RHIT | Certification such as CPC, CCS, or CCA; high school diploma or equivalent often required |
| Work Environment | Healthcare organizations, hospitals, clinics, or remote settings involving data management | Medical offices, billing companies, or remote coding jobs for healthcare providers |
| Industry Usage | Used across healthcare IT, data analysis, and health information management | Primarily 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.
More about Remote Health Informatics jobs
What are the most commonly searched types of Health Informatics jobs in Missouri?
The most popular types of Health Informatics jobs in Missouri are:
What are popular job titles related to Remote Health Informatics jobs in Missouri?
For Remote Health Informatics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Health Informatics jobs in Missouri look for?
The top searched job categories for Remote Health Informatics jobs in Missouri are:
What cities in Missouri are hiring for Remote Health Informatics jobs?
Cities in Missouri with the most Remote Health Informatics job openings:
$100K - $120K/yr
Full-time
Posted 7 days ago
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML & Forward Deployed Engineer based in Netherlands.
This role offers the opportunity to build and deploy high-impact AI, machine learning, and generative AI solutions from initial concept through production.
You will combine software engineering, machine learning, and MLOps/LLMOps expertise to create scalable and reliable AI products.
The position involves solving complex business problems through technologies such as LLMs, RAG pipelines, NLP, forecasting, and anomaly detection.
You will work across the full AI lifecycle, from experimentation and evaluation to deployment, monitoring, and continuous improvement.
Strong attention to security, governance, observability, and data quality will be essential when delivering production-ready solutions.
You will also collaborate closely with stakeholders to translate business needs into practical technical solutions and measurable outcomes.
This is an excellent opportunity for an experienced engineer who enjoys combining advanced AI technologies with hands-on implementation and real-world impact.
Accountabilities
- Design, develop, and deploy machine learning, AI, and GenAI solutions from proof of concept through production.
- Build and optimize ML models and applications covering deep learning, NLP, forecasting, classification, regression, and anomaly detection use cases.
- Develop production-grade GenAI applications using LLMs, RAG pipelines, embeddings, retrieval optimization, reranking, and prompt engineering.
- Design and implement AI evaluation frameworks to assess model quality, reliability, relevance, and performance.
- Build scalable AI services and integrations using REST and gRPC APIs as well as event-driven architectures.
- Establish and maintain MLOps and LLMOps practices covering deployment, automation, versioning, monitoring, and lifecycle management.
- Containerize and orchestrate AI applications using Docker and Kubernetes and integrate them into robust CI/CD pipelines.
- Implement model monitoring, drift detection, performance tracking, and processes for continuous model improvement.
- Ensure AI solutions meet enterprise requirements for data quality, governance, security, role-based access control, encryption, and auditability.
- Collaborate with business and technical stakeholders to understand requirements, identify opportunities for AI adoption, and translate them into effective technical solutions.
- Support solutions through production operations, troubleshooting, optimization, and ongoing improvements.
- Apply strong engineering practices to ensure AI systems are scalable, secure, observable, maintainable, and aligned with business objectives.
- 8+ years of professional software engineering or technical engineering experience.
- Strong hands-on experience in Machine Learning and AI/ML Engineering.
- Advanced Python development skills and practical experience with deep learning and machine learning techniques.
- Experience with NLP, forecasting, classification, regression, and anomaly detection.
- Proven experience building GenAI applications using LLMs and Retrieval-Augmented Generation (RAG) architectures.
- Strong understanding of embeddings, retrieval tuning, reranking, prompt engineering, and AI/LLM evaluation methodologies.
- Solid knowledge of MLOps and LLMOps principles and practices across the AI development lifecycle.
- Hands-on experience with Docker, Kubernetes, and CI/CD technologies for production deployments.
- Experience designing and developing REST and gRPC APIs and event-driven services.
- Knowledge of model monitoring, model versioning, drift detection, performance evaluation, and model lifecycle management.
- Strong understanding of data quality, data governance, security controls, RBAC, encryption, and audit trails.
- Ability to work effectively with both technical and non-technical stakeholders and translate business challenges into practical AI solutions.
- Strong problem-solving, analytical, communication, and collaboration skills.
- Ability to operate effectively in fast-moving environments while balancing experimentation with production reliability.
- Competitive annual salary of $100,000-$120,000.
- Full-time opportunity with a remote working model.
- Opportunity to work on cutting-edge AI, machine learning, and GenAI solutions.
- Hands-on exposure to LLMs, RAG, MLOps, LLMOps, Kubernetes, and cloud-native engineering practices.
- Opportunity to contribute to AI solutions from concept and experimentation through production deployment.
- Work on technically challenging projects with a strong focus on scalability, security, governance, and observability.
- Collaborative environment with opportunities to engage directly with stakeholders and influence AI solution strategy.
- Opportunity to expand expertise across modern AI engineering, machine learning, and production software development.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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