Medical Application Software Developer

NeXT Consultans; Madrid; Presencial; EUR 62.000 - 78.000; Jornada completa

Descripción de la vacante

Una destacada institución de investigación busca un desarrollador de software talentoso para liderar la creación de una innovadora aplicación de salud impulsada por inteligencia artificial. Este emocionante puesto implica el diseño y desarrollo de una aplicación multiplataforma que interactúa con hardware especializado y procesa datos médicos en tiempo real. El candidato ideal tendrá la oportunidad de trabajar en un entorno científico de vanguardia, contribuyendo a la mejora de la atención cardiovascular. Si estás listo para asumir la responsabilidad del ciclo completo de desarrollo y deseas marcar la diferencia en el ámbito de la salud, esta es tu oportunidad.

Servicios

Salario competitivo

Acceso a tecnologías avanzadas

Integración en un entorno científico excelente

Incorporación inmediata

Formación

• 3 años de experiencia en desarrollo de software, preferentemente en aplicaciones médicas.
• Experiencia en programación de lenguajes modernos y frameworks frontend.

Responsabilidades

• Desarrollar una aplicación de salud multiplataforma que procese datos en tiempo real.
• Colaborar con el equipo para diseñar funciones y resolver problemas.

Conocimientos

Desarrollo de software

Programación en lenguajes modernos

Desarrollo multiplataforma

Procesamiento de datos en tiempo real

Seguridad de datos

Integración de dispositivos externos

Conocimientos en gráficos en tiempo real

Gestión de equipos

Educación

Licenciatura en Ciencias de la Computación

Máster en Ingeniería de Software

Herramientas

Frameworks frontend

Bibliotecas gráficas en tiempo real

SDKs

Descripción del empleo

The Centro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P) (CNIC) has been conceived to develop research of excellence, competitive and of international relevance in relation to cardiovascular diseases. The CNIC is a research center of 24,000 m² located in Madrid, with more than 6,000 m² for laboratories equipped with a state-of-the-art infrastructure and equipment.

CNIC leads the Project, AI POCVUS-REACT, Artificial Intelligence-assisted point of care vascular ultrasound device for personalized cardiovascular prevention.

We are seeking a skilled and experienced Software Developer to lead the design, development, and deployment of a multiplatform healthcare application powered by AI models. The application will interface with specialized hardware and process medical data in real-time. The ideal candidate will have full ownership of the development cycle and be proficient in creating scalable, high-performance applications across multiple platforms (Windows, macOS, Linux).

Functions:

• Develop a cross-platform healthcare application that interacts with external hardware and processes real-time data.
• Collaborate with team members to design features and solve problems.
• Integrate AI / ML models for real-time analysis and decision-making.
• Create a secure and reliable backend for data processing and transmission.
• Design a user-friendly interface that works smoothly on different platforms.
• Ensure compliance with relevant healthcare regulations and standards.
• Provide regular updates on project milestones and manage comprehensive development documentation.

Mandatory Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• At least 3 years of experience in software development (e.g., medical imaging, video processing, automotive, or robotics) (twenty-four months for people with a disability higher than 66% and thirty months for people with a disability higher than 33%).

Valuable Requirements:

• C1. Expertise in Programming Languages: Proficiency in modern backend languages and experience in frontend frameworks and technologies.
• C2. Knowledge and experience in real-time graphics libraries.
• C3. Knowledge and experience in Data Processing (understanding real-time data processing pipelines and performance optimization, including buffering, queuing, error-handling and prioritizing data to ensure efficient processing).
• C4. Knowledge and experience in External Device communication / Integration, of serial and network-based communication protocols for direct device communication, ability to develop or integrate device drivers or SDKs.
• C5. Knowledge and experience in Security. Strong understanding of data encryption and security best practices, particularly for sensitive healthcare data.
• C6. Knowledge and experience in multiplatform development (Windows, macOS, Linux) and possibly mobile platforms (iOS, Android).
• C7. Knowledge and / or experience in healthcare or medical data processing.
• C8. Knowledge and / or experience in DevOps practices and platforms for deployment and scaling.
• C9. Experience in team management.
• C10. Underrepresentation of gender by category, in accordance with Action S1 of the 2021-2024 Equality Plan, POSITIVE ACTION IN CALLS FOR POSTS.
• C11. Interview.

We offer:

• Competitive salary (estimated annual salary 62,216.58 € + 25% variable).
• Consolidated Research Center of international scientific relevance.
• Access to an infrastructure and advanced technologies.
• Integration into an excellent scientific environment.
• Immediate incorporation.

The RESOLUTION OF THE SECRETARIAT OF STATE FOR PUBLIC FUNCTION APPROVING THE COMMON ACTION CRITERIA IN THE SELECTIVE PROCESSES OF STATE PUBLIC SECTOR ENTITIES of April 11, 2022, establishes in point 6.1 that “Unless a specific regulation provides for the selective contest system, the selective system will be the contest-opposition.”

In the case of CNIC, the specific regulations approved by the Foundation's board of trustees establish a selective competition system with an interview phase.

At least 3 candidates with the highest score (as long as they reach the minimum of 60 points as a sum of evaluation criteria (C1-C10) will be interviewed. The candidate with the highest score will be hired given the total score (C1-C11) is higher than 75 points.

Composition of the Selection Commission:

• Group researcher with high expertise in AI.
• Research Office Coordinator.
• Research Office Manager.
• HR member.

The CNIC guarantees, within its scope of action, the principle of equal access to employment, and may not establish any direct or indirect discrimination based on grounds of origin, including racial or ethnic origin, sex, age, marital status, religion or beliefs, political opinion, sexual orientation and identity, gender expression, sexual characteristics, trade union membership, social status, language within the State and disability, provided that the workers are fit to perform the work or job in question.

By participating in the selection process, the participant accepts that their data appear in the public resolutions of the selection process. Such resolutions (provisional list of admitted and excluded, definitive list of admitted and excluded and resolution of the process) are published on the CNIC website.

Scoring Criteria:

• C1. Expertise in Programming Languages: Proficiency in modern backend languages and experience in frontend frameworks and technologies (Experience will be assessed as a whole on the basis of the time / specialty ratio). 20%
• C2. Knowledge and experience in real-time graphics libraries. (Experience will be assessed as a whole on the basis of the time / specialty ratio or according to the number of hours of accredited training). 10%
• C3. Knowledge and experience in Data Processing (understanding real-time data processing pipelines and performance optimization, including buffering, queuing, error-handling and prioritizing data to ensure efficient processing) (Experience will be assessed as a whole on the basis of the time / specialty ratio or according to the number of hours of accredited training). 10%
• C4. Knowledge and experience in External Device communication / Integration, of serial and network-based communication protocols for direct device communication, ability to develop or integrate device drivers or SDKs (Experience will be assessed as a whole on the basis of the time / specialty ratio or according to the number of hours of accredited training). 10%
• C5. Knowledge and experience in Security. Strong understanding of data encryption and security best practices, particularly for sensitive healthcare data. (Experience will be assessed as a whole on the basis of the time / specialty ratio or according to the number of hours of accredited training). 5%
• C6. Knowledge and experience in multiplatform development (Windows, macOS, Linux) and possibly mobile platforms (iOS, Android) (Experience will be assessed as a whole on the basis of the time / specialty ratio or according to the number of hours of accredited training). 5%
• C7. Knowledge and / or experience in healthcare or medical data processing. (Experience will be assessed as a whole on the basis of the time / specialty ratio or according to the number of hours of accredited training). 5%
• C8. Knowledge and / or experience in DevOps practices and platforms for deployment and scaling. (Experience will be assessed as a whole on the basis of the time / specialty ratio or according to the number of hours of accredited training). 5%
• C9. Experience in team management. (Experience will be assessed as a whole on the basis of the time / specialty ratio). 5%
• C10. Underrepresentation of gender by category, in accordance with Action S1 of the 2021-2024 Equality Plan, POSITIVE ACTION IN CALLS FOR POSTS. 5%