Careers
Location: Remote | Job Type: Full-Time
Company: MAP – Pharmaceutical Marketing and Sales
Industry: Healthcare IT / HealthTech / Interoperability
Role Overview
We are seeking a deeply technical Senior Backend Engineer to own the application layer of our medical imaging platform. You will focus on building high-performance services and integrations, including custom plugins for our C++ based PACS and developing the data exchange logic for national health platforms.
Key Responsibilities
- Develop and maintain data exchange integrations with national health platforms using HL7 and FHIR standards.
- Build high-performance plugins (in C++) and scripts (in Python) for our core imaging server to handle custom workflows.
- Design and build the business logic for our microservices (in Node.js) for features like case management and user roles.
- Architect and own the application’s database schema and interactions with our PostgreSQL database.
- Design and build the “Gateway Appliance” software that securely forwards DICOM data from client hospitals to our platform.
- Work with the DevOps engineer to define application requirements for the cloud infrastructure.
Required Skills
- Strong proficiency in C++ for building native systems or plugins.
- Extensive professional experience with Node.js and Python.
- Expertise in the DICOM standard, including data structures and networking.
- Strong data modeling skills with PostgreSQL or similar databases.
Preferred (Nice to Have)
- Knowledge of healthcare interoperability standards (HL7v2, FHIR).
- Direct experience with PACS.
- Experience with digital pathology (WSI) data formats.
Why Join Us?
- Focus on complex application logic without the overhead of managing infrastructure.
- Solve unique challenges across PACS engineering, API design, and data interoperability.
To apply: Send your resume and cover letter to careers@telegnost.com with the subject: Senior Backend Engineer Application
Location: Remote | Job Type: Full-Time
Company: MAP – Pharmaceutical Marketing and Sales
Industry: Healthcare IT / Cloud Architecture / DevOps
Role Overview
We are looking for an experienced DevOps & Cloud Engineer to build and manage the entire infrastructure for our secure, high-availability medical imaging platform. You will be responsible for automating our cloud environment using Terraform, managing our Kubernetes cluster, and establishing secure connectivity with client hospitals. Your primary goal is to provide a robust, scalable, and secure platform for our development teams.
Key Responsibilities
- Design, build, and manage our entire cloud infrastructure using Infrastructure as Code (Terraform).
- Own the deployment, scaling, and management of our applications on Kubernetes.
- Implement and maintain the CI/CD pipeline for automated testing and deployment.
- Architect and manage our cloud networking, including implementing secure site-to-site VPNs to client hospitals.
- Manage platform security, including network policies, firewalls, IAM, and HIPAA/GDPR compliance at the infrastructure level.
- Implement and manage robust monitoring, logging, and alerting for the entire platform.
- Support the backend team in deploying and managing their “Gateway Appliance” software.
Required Skills
- Deep, hands-on experience with Terraform in a production environment.
- Expertise in Kubernetes, including cluster management, networking (e.g., CNI), and security.
- Strong proficiency with Docker and building containerized applications.
- Extensive experience with a major cloud provider (AWS, Azure, or GCP).
- Proven experience setting up and managing network security, including VPNs, firewalls, and VPCs.
- Experience building and managing CI/CD pipelines (e.g., with GitLab CI, Jenkins, GitHub Actions).
Preferred (Nice to Have)
- Experience working in a regulated environment (e.g., healthcare/HIPAA, finance).
- Knowledge of observability tools (e.g., Prometheus, Grafana, ELK Stack).
- Scripting skills in Python or Bash.
Why Join Us?
- Build a secure, modern cloud platform for a mission-critical healthcare application from the ground up.
- Work with a talented team on cutting-edge cloud-native technologies.
To apply: Send your resume and cover letter to careers@telegnost.com with the subject: DevOps Cloud Engineer Application
Location: Remote | Job Type: Full-Time
Company: MAP – Pharmaceutical Marketing and Sales
Industry: Healthcare IT / Frontend Development / UI/UX
Role Overview
We are seeking a talented Senior Frontend Engineer to lead development of our sophisticated, web-based medical imaging viewer. Our application is built from the ground up using React and TypeScript to provide a world-class diagnostic experience. You will be responsible for creating intuitive clinical workflows that consume data from our core PACS and display information from national health exchange platforms.
Key Responsibilities
- Lead development on our clinical frontend platform, building custom components for advanced image analysis.
- Create complex and intuitive user interfaces for workflows like case management, reporting, and interactive segmentation display.
- Collaborate closely with the backend team to integrate with APIs serving data from our core PACS and custom backend services.
- Ensure the application is highly responsive and optimized for performance when handling large imaging studies.
- Contribute to the overall frontend architecture, ensuring code quality, modularity, and testability.
Required Skills
- Deep expertise in frontend development with a strong focus on React and TypeScript.
- Proven experience building complex, data-intensive single-page applications (SPAs).
- A solid understanding of modular, component-based architecture and state management.
- Proficiency with modern frontend tooling (Webpack, Babel, Jest, Cypress).
- Experience consuming REST APIs and handling asynchronous data.
Preferred (Nice to Have)
- Experience with web-based medical imaging libraries (e.g., Cornerstone.js).
- Familiarity with consuming data from PACS APIs.
- Experience with the DICOM standard or data visualization libraries.
Why Join Us?
- Build the interface that radiologists depend on for patient diagnosis.
- Work with a modern frontend stack that connects to a sophisticated medical data backend.
- Enjoy a flexible remote environment with a team dedicated to improving healthcare.
To apply: Send your resume and cover letter to careers@telegnost.com with the subject: Senior Frontend Engineer Application
Location: Remote | Job Type: Full-Time
Company: MAP – Pharmaceutical Marketing and Sales
Industry: AI in Healthcare / MLOps / Computer Vision
Role Overview
We are looking for an AI/ML Engineer focused on the practical application and deployment of medical imaging models. Your primary goal will be to integrate AI capabilities directly into our teleradiology platform. You will be responsible for the entire MLOps lifecycle, from deploying models as containerized services to integrating them into the clinical workflow, enabling real-time analysis on imaging studies as they arrive in our core PACS from client hospitals.
Key Responsibilities
- Design and implement robust pipelines for deploying medical imaging AI models at scale.
- Integrate deployed models directly with our PACS, triggering analysis on new studies and writing results (e.g., DICOM SR, SEG) back into the server.
- Package trained models (from PyTorch, MONAI, etc.) into containerized microservices using Docker to run on our Kubernetes platform.
- Build efficient inference APIs (e.g., using FastAPI) to serve model predictions.
- Collaborate with backend and frontend teams to ensure AI results are available and visualized in our web-based viewer.
- Work with the DevOps team to ensure your services are properly deployed and monitored.
Required Skills
- Strong experience deploying machine learning models into production, especially for computer vision.
- Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
- Hands-on experience with Docker and deploying services to Kubernetes.
- Experience integrating ML models with data servers; familiarity with PACS APIs and scripting is highly desirable.
- Experience with medical imaging data (DICOM) and building model inference APIs.
Preferred (Nice to Have)
- Direct experience with medical AI libraries like MONAI or nnU-Net.
- Experience with MLOps platforms (e.g., MLflow, Kubeflow).
- Knowledge of GPU acceleration for inference.
Why Join Us?
- Go beyond model training; deploy AI that integrates tightly with a live clinical PACS workflow.
- Solve critical MLOps challenges within a modern, cloud-native environment.
- See your work have a direct, visible impact within a real-world radiology platform.
To apply: Send your resume and cover letter to careers@telegnost.com with the subject: AI/ML Engineer Application