iSono Health is developing a platform that combines automated 3D ultrasound technology with cloud computation and artificial intelligence to empower women and their physicians with early detection of breast cancer. Our platform’s automated operation and software expands ultrasound use in point-of-care diagnostics as well as monitoring of breast health at home, walk-in and mobile clinics.

iSono Health is a dynamic and rapidly growing early clinical-commercial stage medical device company dedicated to saving lives and transforming care through innovative robotics, AI, and 3D ultrasound technologies. 

At iSono Health, we're pioneering a new era of breast care. We believe every woman deserves access to fast, affordable, and comfortable screenings. That's why we developed ATUSA, the world's first AI-powered platform with a point-of-care, automated 3D ultrasound system.

To succeed here, you need to think like an entrepreneur, act like a leader, and execute with precision. We value individuals who take initiative, embrace challenges, and are excited to wear multiple hats. Creativity, resilience, and a commitment to excellence are essential as we push the boundaries of what’s possible in healthcare.

Our work is exciting because it’s meaningful. Together, we’re empowering women to take control of their health by expanding access to potentially lifesaving ultrasound technology. If you’re passionate about making a difference and ready to be part of a nimble, scrappy team that values impact over hierarchy, iSono Health is the place for you.

At iSono Health, success isn’t just about the work—it’s about the mindset. We’re a small but mighty team of dedicated individuals driven by a shared mission: revolutionizing women’s health and making a profound impact for patients and clinicians. With big ambitions and innovative plans, we thrive in a fast-paced, dynamic environment where every team member owns what they build.

Join us in transforming healthcare and be part of a team where every voice matters, every idea counts, and every action contributes to a greater purpose.

Key Responsibilities

• Cloud Infrastructure
  • Design, develop, and maintain scalable and secure cloud infrastructure for ATUSA cloud-based web application.on Google Cloud Platform (GCP) with a focus on scalability, security, and observability
  • Implement secure, scalable, and reliable APIs and backend services.
  • Implement and maintain authentication, authorization, logging, and monitoring systems to ensure secure, compliant, and reliable operation
  • Implement infrastructure-as-code and automate deployments using Docker and Kubernetes.
  • Ensure compliance with security, privacy, and regulatory standards (HIPAA, GDPR, SOC 2, etc.)
• Web Application Development
  • Develop and maintain responsive and performant web applications using modern frameworks and RESTful APIs (Python, JavaScript, Node.js)
  • Optimize performance across backend services, data pipelines, and frontend interfaces for storage, retrieval, and visualization of 3D imaging.
  • Collaborate with UI/UX designers and frontend engineers to build intuitive and responsive UI and deliver seamless user experiences for clinicians.
  • Troubleshoot and optimize performance of cloud infrastructure and web services
  • Participate in code reviews, testing, and continuous integration/deployment.
• Data Pipeline & MLOps
  • Design and implement robust data pipelines for ingesting, transforming, and storing large datasets.
  • Collaborate with Advanced Imaging and AI teams to deploy, monitor, and manage ML models in production.
  • Automate model training, evaluation, and deployment processes
• Cross-functional Collaboration
  • Work across disciplines to drive architecture decisions and best practices.
  • Mentor junior developers and contribute to a culture of technical excellence, architectural decisions, code reviews, and technical documentation
  • Collaborate with Product, Marketing and Clinical teams to define and prioritize customer requirements
  • Develop internal web interfaces and admin portals for clinical research, application and marketing teams

Required Skills & Experience

• BS/MS in computer science with 5+ years of experience, with strong exposure to both cloud infrastructure and full-stack development.

• 5+ years of experience in software engineering, with strong exposure to both cloud infrastructure and full-stack development.

• Expertise in Python for data pipeline and backend development.

• Proficient in JavaScript and Node.js for web application development.

• Experience with containerization using Docker and orchestration with Kubernetes.

• Familiarity with database technology such as MySQL, Oracle and MongoDB

• Solid understanding and hands-on experience with Google Cloud Platform (GCP) 

• Proven experience building and managing scalable cloud backend and familiarity working with CI/CD pipelines and DevOps best practices.

• Strong problem-solving skills and ability to navigate ambiguity in a fast-paced setting.

• Excellent communication and collaboration abilities.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or related field
• Experience in regulated medical device/healthcare industries with compliance-aware development
• Knowledge of MLOps and data versioning tools (MLflow, DVC)
• Experience with data privacy and security best practices (HIPAA, GDPR).
• Experience with software lifecycle in medical device industry 
• Familiarity with Cybersecurity requirement for healthcare cloud application

At iSono Health, success isn’t just about the work—it’s about the mindset. We’re a small but mighty team of  dedicated individuals driven by a shared mission: revolutionizing women’s health and making a profound impact. With big ambitions and innovative plans, we thrive in a fast-paced, dynamic environment where every team member owns what they build.

Imagine a world where early detection is effortless. Our compact scanner captures a complete 3D image of the breast in just two minutes without requiring a skilled sonographer. It connects to a laptop, making screenings accessible at doctors' offices, walk-in clinics, and mobile units. The data is securely stored in the cloud, where our innovative machine-learning algorithms analyze it for abnormalities.

Join us in transforming healthcare and be part of a team where every voice matters, every idea counts, and every action contributes to a greater purpose.

Our patented compact ultrasound scanner captures 3D images through automatic scanning of whole breast volume in 1 min. The device connects to a smartphone/tablet/laptop and is controlled by our mobile app. The data is transferred to a secure cloud for image processing and storage. Our machine learning algorithm uses acoustic biomarkers to identify abnormal masses and assist physician with diagnosis and follow up recommendation.