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gehco.orgHQ: Melbourne, Victoria, Australia

The Global eHealth Collaborative (GeHCo) has been established to build communities of health informatics experts committed to:• Educational & training to upskill the current workforce and train the next • Projects & Solutions to meet the unique challenges associated with digital health ranging from data standardisation, system design, tooling and standards development, testing and evaluation in the real world as well as via simulations for training purposes.• Professional servicesGeHCo is passionate about the making a positive impact on the delivery of healthcare and the system that supports it eHealth by gathering the best health informatics experts from all over the globe to create solutions. We see this as an essential building block underpinning the necessary reform in healthcare, enabling the global population to have equitable access to safe and effective health care within a sustainable health system.

Sector:educationehealthfitnesshealthhealth informatics

All Openings (13)

Ordered by most recently published

Software Engineer

On-sitefull timeMid-LevelBellevue, United States
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Job Description Summary You will design, build, and maintain the Data Cloud Connector (DCC), the service that moves clinical data from hospital systems into GE HealthCare's cloud. That data powers the analytics and AI tools clinicians use to make decisions about real patients. You will work across the full software lifecycle, from requirements and design through implementation, testing, and production support, on a distributed system that runs in hospitals around the world. Healthcare data standards are a big part of the work, and you do not need to know them coming in. Job Description Roles and Responsibilities In this role, you will: Collaborate with system engineers, frontend developers, and software developers to build solutions that extend our shared platforms Write clean, tested code that meets team standards using the technologies selected for the project Build and maintain backend features such as web services and database queries Apply SDLC best practices including continuous integration, security, scalability, refactoring, and documentation Assess and improve application performance against defined targets Apply core data structures and algorithms to solve practical engineering problems Education and Experience Bachelor's degree in Computer Science or a STEM field, with a minimum of 2 years of software engineering experience. Technical Expertise Hands-on experience with Java and/or Python, and with AWS cloud services Proficient with Git and modern source control workflows (branching, pull requests, code review) using GitHub and/or GitLab Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent) Working knowledge of automated testing at the unit, integration, end-to-end levels, and behavior-driven testing (e.g. Cucumber) Experience delivering software in an Agile environment (Scrum, Kanban, XP, or Lean) Understanding of how technology and tooling choices affect development speed, quality, and maintainability Desired Characteristics Breaks down complex problems and provides realistic estimates for development tasks Seeks to understand a problem fully before building, and asks clarifying questions when requirements are ambiguous Voices opinions with clear rationale, using data and evidence to influence Takes independent ownership of deliverables and completes them on time and at high quality Stays current on technology trends and brings new ideas and frameworks to the team Adapts quickly to changing requirements and is receptive to coaching Understands the product's value to the customer and connects their own work to the team's goals We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $103,040.00-$154,560 Annual. We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $103,040.00-$154,560.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

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Software EngineeringVia Workday
Verified7 days ago

Mammography Systems Engineer Apprentice

On-siteinternshipInternshipWorldwide (On-site)
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Job Description Summary Au sein de l'équipe Système du département Santé de la Femme, vous contribuerez au développement et à l'évaluation de nouvelles fonctions de perception destinées à améliorer les performances et l'usage du mammographe. Vous participerez à l'ensemble du cycle de développement, depuis l'analyse du besoin produit jusqu'à la validation expérimentale des solutions proposées. Vous travaillerez à l'interface entre les équipes systèmes, logiciel, hardware et recherche afin de transformer des besoins fonctionnels en spécifications techniques mesurables et vérifiables. Cette mission offre une opportunité unique de développer des compétences en ingénierie système, traitement du signal, analyse de données et évaluation de technologies de capteurs. Job Description Missions Contribuer à l'analyse des besoins produit et à leur traduction en exigences techniques quantifiables. Développer des outils d'analyse de données permettant d'extraire des indicateurs pertinents à partir de bases de données expérimentales ou d'images. Évaluer différentes technologies de capteurs et analyser leur aptitude à répondre aux besoins identifiés. Développer des algorithmes de traitement du signal et de fusion de données pour exploiter les informations fournies par les capteurs. Concevoir et réaliser des expérimentations visant à caractériser les performances des solutions étudiées. Analyser les résultats de tests et identifier les principaux facteurs influençant la performance du système. Contribuer à la définition et à l'exécution de plans de validation. Présenter les résultats et recommandations lors des revues techniques de projet. Profil recherché Étudiant(e) en école d'ingénieur ou Master BAC+4/BAC+5, spécialisé en systèmes, instrumentation, traitement du signal, physique appliquée ou informatique scientifique. Intérêt pour les systèmes complexes et l'analyse de données expérimentales. Goût pour les activités mêlant modélisation, développement logiciel et expérimentations pratiques. Rigueur, autonomie et esprit d'analyse. Compétences techniques (Skills) Requises Python Analyse de données (NumPy, Pandas, SciPy) Traitement du signal Statistiques appliquées Développement logiciel Git Méthodes de test et validation Appréciées Vision par ordinateur et analyse d'images Capteurs et systèmes d'acquisition Linux Expérimentation et analyse de performances Compétences comportementales Esprit analytique et capacité de résolution de problèmes Curiosité technique Rigueur scientifique Autonomie et proactivité Bon relationnel et capacité à travailler dans une équipe multidisciplinaire Communication écrite et orale À propos de GE HealthCare GE HealthCare est l'un des leaders mondiaux dans le domaine des technologies médicales et des solutions numériques. Il permet aux cliniciens de prendre des décisions plus rapides et plus pertinentes à travers des équipements intelligents, des analyses de données, des applications et des services. Avec plus de 100 ans d'expérience dans le secteur de la santé et environ 50 000 employés dans le monde, la société est au centre d'un écosystème qui travaille pour une médecine de précision. Nos rémunérations totales sont conçues pour libérer votre ambition en vous donnant la motivation et la flexibilité dont vous avez besoin pour transformer vos idées en réalités qui changent le monde. Nos salaires et nos avantages sociaux correspondent à tout ce que vous attendez d'une organisation ayant une dimension internationale, avec des possibilités de développement de carrière, dans une culture qui favorise la collaboration et le soutien. GE HealthCare est un employeur offrant l'égalité des chances où l'inclusion compte. Les décisions relatives à l'emploi sont prises sans tenir compte de l'origine nationale ou ethnique, de la religion, du sexe, de l'orientation sexuelle, de l'identité ou de l'expression de genre, de l'âge, du handicap, du statut d'ancien combattant protégé ou d'autres caractéristiques protégées par la loi. GE HealthCare – Creating a world where healthcare has no limits. #LI-SV1 #LI-Onsite Additional Information Relocation Assistance Provided: No

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Cloud, DevOps & SREVia Workday
Verified7 days ago

Staff Software Engineer

On-sitefull timeLead / StaffWorldwide (On-site)
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Job Description Summary The Staff Software Engineer will serve as a technical leader for test automation and Continuous Testing across CT software products. This role is responsible for defining the technical vision, architecture, and roadmap for scalable automation frameworks and platforms that enable reliable, repeatable, and efficient software verification. The individual will lead the design and evolution of automation solutions using technologies such as Squish, Selenium, BDD frameworks, and CI/CD platforms. The role requires deep technical expertise, hands on software development capabilities, and the ability to guide globally distributed engineering teams toward common automation standards, framework guidelines, and engineering practices. The Staff Software Engineer will work across product, software, verification, systems, architecture, and DevOps teams to improve automation coverage, test reliability, execution efficiency, and Continuous Testing adoption. The individual will influence technical decisions across multiple teams and product lines while ensuring that automation platforms remain scalable, maintainable, reusable, and aligned with product and business roadmaps. Job Description In this role, you will: • Serve as the technical leader for the test automation team, providing technical direction, architecture guidance, and hands on support for complex automation challenges. • Define and drive the technical vision, architecture, and roadmap for the Continuous Testing platform across multiple CT products and software configurations. • Lead the design, development, integration, and maintenance of scalable automation frameworks using Squish, Selenium, BDD, and other appropriate automation technologies. • Establish a common automation architecture that supports desktop, web, service, and hybrid application workflows. • Provide technical leadership for automating complex desktop applications, including applications built using Java Swing and applications containing embedded browser technologies. • Drive the integration of Squish and Selenium automation into a unified Continuous Testing platform that supports reliable end to end workflow verification. • Define and enforce automation development guidelines, framework standards, coding practices, review criteria, tagging conventions, reporting requirements, and test reliability expectations. • Influence globally distributed software and verification teams to adopt common automation frameworks, reusable components, engineering practices, and Continuous Testing guidelines. • Partner with global teams to understand product specific needs while ensuring that locally developed solutions align with the overall platform architecture and long term technical strategy. • Provide hands on technical leadership through architecture reviews, design reviews, code reviews, technical deep dives, troubleshooting, and implementation of critical framework components. • Lead the modernization of existing automation assets, including conversion of legacy Squish tests and older BDD implementations into standardized, maintainable, and reusable automation models. • Develop reusable automation libraries, services, utilities, and platform capabilities that can be adopted across multiple products and engineering teams. • Improve automation reliability through effective synchronization, object recognition, environment management, failure recovery, logging, diagnostics, and reporting capabilities. • Lead technical efforts to distinguish product defects, automation issues, infrastructure failures, configuration problems, and environmental conditions during automated test execution. • Drive improvements in automated test execution time, parallel execution, resource utilization, configuration based test selection, and overall platform scalability. • Enable onboarding of Selenium and other automation suites into the Continuous Testing infrastructure. • Ensure that the Continuous Testing platform supports development testing, integration testing, dry runs, regression testing, and formal verification and validation activities. • Collaborate with DevOps and infrastructure teams to integrate automation frameworks with CI/CD pipelines, build systems, test environments, reporting solutions, and engineering dashboards. • Establish technical metrics and quality indicators for automation coverage, execution stability, failure trends, test maintainability, and platform performance. • Identify opportunities to apply AI assisted development and analysis tools to test creation, failure analysis, impact assessment, reporting, and engineering productivity. • Partner with Product Managers, Architects, Systems Engineers, Verification teams, Software teams, and DevOps teams to translate system and product needs into an actionable automation platform roadmap. • Evaluate technology choices and make informed recommendations regarding framework architecture, platform evolution, reuse, scalability, maintainability, and build versus buy decisions. • Provide technical mentorship to automation engineers and software engineers, helping them strengthen their capabilities in framework development, software design, test architecture, debugging, and engineering best practices. • Facilitate technical alignment across teams, resolve competing technical approaches, and drive decisions that support common engineering goals. • Proactively identify technical risks, scalability concerns, framework limitations, and adoption barriers, and drive solutions before they affect product delivery. • Demonstrate end to end ownership of automation capabilities from requirements and architecture through implementation, integration, validation, release, adoption, and ongoing support. Education Qualification Bachelor’s Degree in Computer Science, Software Engineering, or a STEM major, including Science, Technology, Engineering, or Mathematics, with a minimum of 7 years of relevant software engineering experience. A Master’s Degree in Computer Science, Software Engineering, or a related technical discipline is preferred. Required Technical Qualifications • Extensive experience in software development, software architecture, test automation, or automation platform engineering. • Demonstrated experience leading the architecture and development of enterprise scale test automation frameworks or Continuous Testing platforms. • Strong hands on experience with Squish for automating complex desktop applications. • Strong hands on experience with Selenium for web application automation. • Experience designing automation solutions using BDD frameworks such as Cucumber or comparable technologies. • Strong programming experience using one or more languages such as Python, Java, JavaScript, or C++. • Experience designing reusable software components, automation libraries, framework services, APIs, and engineering utilities. • Experience integrating automated test frameworks with CI/CD systems such as Jenkins or comparable pipeline technologies. • Strong understanding of software design principles, object oriented development, design patterns, data structures, algorithms, and scalable system architecture. • Experience troubleshooting complex automation failures involving the application, framework, infrastructure, network, configuration, test data, or execution environment. • Experience with source control, code review, build systems, artifact management, automated reporting, and software quality tools. • Experience with Agile software development, requirements analysis, estimation, planning, and incremental delivery. • Experience working in a regulated software development environment is preferred. • Experience with medical device software, clinical workflows, imaging applications, or CT systems is preferred. Desired Characteristics Technical Expertise • Demonstrates deep expertise in automation framework architecture, software design patterns, scalable platform development, and Continuous Testing practices. • Has the technical depth to lead complex architecture discussions while remaining hands on when critical framework or platform problems require direct involvement. • Understands the strengths, limitations, and appropriate use of Squish, Selenium, BDD, service level testing, and other automation approaches. • Designs automation platforms for reliability, extensibility, configurability, maintainability, observability, and reuse. • Promotes modular framework design and shared components to reduce duplication across products and global teams. • Establishes effective technical governance without slowing down engineering execution or innovation. • Leads technical deep dives and architecture reviews across multiple product teams and technology stacks. • Drives modernization of legacy automation into standardized and maintainable framework patterns. • Champions Continuous Testing and CI/CD practices that enable faster feedback, improved reliability, and more predictable software delivery. • Evaluates AI assisted engineering capabilities and applies them where they provide measurable improvements in automation development, failure analysis, impact assessment, or engineering productivity. • Understands the relationship between automated testing, product risk, requirements traceability, release readiness, and formal verification. Business Acumen • Connects automation platform investments with product quality, verification efficiency, release predictability, and customer outcomes. • Evaluates technology trends and distinguishes sustainable engineering value from short term technology trends. • Makes informed build versus buy recommendations and clearly articulates technical tradeoffs, cost, maintainability, scalability, and long term value. • Prioritizes platform capabilities based on business impact, technical risk, product roadmap needs, and adoption potential. • Understands that a successful automation platform requires both strong technology and consistent adoption by engineering teams. • Balances immediate product delivery needs with long term framework sustainability and platform evolution. Leadership • Leads primarily through technical credibility, influence, collaboration, and consistent engineering judgment. • Establishes and communicates a clear technical vision for automation and Continuous Testing. • Influences global teams to adopt common framework standards, development guidelines, and engineering practices. • Builds alignment across product teams even when priorities, architectures, or existing approaches differ. • Explains the reasoning behind technical decisions and communicates downstream implications clearly. • Proactively identifies obstacles affecting automation development, platform adoption, test reliability, or execution efficiency, and leads their resolution. • Navigates accountability effectively within a global and matrixed organization. • Facilitates constructive technical discussions and drives decisions when teams have competing approaches or priorities. • Mentors engineers and develops future technical leaders within the automation organization. • Creates a shared sense of purpose across software, verification, architecture, infrastructure, and DevOps teams. • Learns from failures and uses those learnings to improve framework architecture, engineering practices, and technical decision making. Personal Attributes • Demonstrates strong critical thinking and can identify patterns across product failures, automation behavior, infrastructure conditions, and engineering processes. • Communicates complex technical topics clearly to engineers, architects, managers, and other stakeholders. • Is comfortable operating in ambiguous situations and brings structure, technical direction, and clear decision making. • Builds trust across global teams and creates alignment without relying on direct reporting authority. • Maintains a hands on engineering mindset while providing broader technical leadership. • Challenges existing approaches constructively and recommends practical, sustainable alternatives. • Demonstrates strong ownership, persistence, curiosity, and accountability. • Continuously evaluates emerging technologies, tools, and engineering practices that can improve software quality and delivery efficiency. • Promotes a culture of reuse, automation, engineering excellence, technical learning, and continuous improvement. • Energizes teams around a common technical vision and maintains momentum when technical or organizational challenges arise. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

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Software EngineeringVia Workday
Verified7 days ago

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