Purpose:

Director of Engineering of Cosmo Intelligent Medical Devices.

Work Location: Rome – Italy – Viale Ostiense 131/L

Key Responsibilities: 

• Engineering Leadership: Lead and coordinate the activities of the four main engineering teams (Electronics, Mechanics, Software, Quality Engineering), ensuring effective integration across disciplines.
• Product Development: Ensure that the engineering process of medical devices meets timelines, budget constraints, and quality standards, while promoting innovation and efficiency.
• AI Integration: Oversee the optimal integration of AI software into medical devices by working closely with the software development team.
• Compliance and Quality: Collaborate with the Quality Engineering team to ensure all products comply with applicable regulatory and quality standards.
• Resource Management: Efficiently allocate engineering resources, continuously monitoring performance and implementing improvements as necessary.
• Technological Innovation: Drive the adoption of new technologies and methodologies that can enhance product quality and the company’s competitiveness.
• Leadership: Train, motivate, and develop talent within the engineering teams, fostering a collaborative and results-oriented work environment.
• Budget Management: Responsible for planning and managing the budget for engineering projects, with a focus on cost optimization and efficiency.

Qualification – Skills, and Abilities

• Experience: At least 7-10 years of experience in the medical device industry, preferably with a specialization in AI software integration.
• Education: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field. A Master’s degree or MBA is preferred.
• Technical Skills: Deep knowledge of hardware and software technologies in the medical sector, with a strong focus on AI-based systems.
• Leadership Ability: Proven experience in managing multidisciplinary engineering teams and leading complex projects.
• Detail Orientation: Precision and attention to detail, especially concerning quality and compliance requirements.
• Problem Solving: Ability to tackle and solve complex problems in an innovative and efficient manner.
• Communication: Excellent written and verbal communication skills, with the ability to effectively interact with all business functions and external stakeholders.
• Personal Attributes:
  • Dynamic and adaptable in an innovative and fast-paced business environment.
  • Entrepreneurial mindset with a strong results-oriented approach.
  • Ability to work collaboratively across multifunctional and multicultural teams.
  • Flexibility and willingness to travel occasionally.

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

Purpose:

Technical Lead for Operations of Cosmo Intelligent Medical Devices.

Work Location: Rome – Italy – Viale Ostiense 131/L

Key Responsibilities: 

• Technical Leadership: Serve as the main technical lead for all operational activities, providing advanced support and expertise to ensure optimal performance of the GI Genius system.
• Support and Collaboration: Work closely with Clinical Application Specialists and production teams, offering technical guidance and collaborating with the R&D team to support ongoing product improvements.
• System Maintenance: Oversee the maintenance and updates of hardware and software components, ensuring compliance with industry standards and regulations.
• Equipment Management: Manage the installation and maintenance of medical electrical equipment within the patient range, ensuring safety and compliance with medical standards.
• Production Support: Provide technical support for production operations, ensuring efficient manufacturing processes and high-quality output.
• Documentation: Create and maintain detailed technical documentation, including maintenance manuals and user instructions.
• Training: Assist in the development and delivery of technical training programs for the Clinical Application Specialists and production teams, enhancing their technical proficiency.
• Problem Solving: Utilize strong analytical and problem-solving skills to address and resolve technical challenges efficiently.
• Communication: Effectively communicate technical information to internal and external stakeholders, ensuring a clear understanding of product capabilities and support procedures.

Qualification – Skills, and Abilities

• Experience: Minimum of 5 years of experience in a technical support role within the medical devices or healthcare industry, with a strong focus on hardware edge/embedded devices, operating systems, and medical electrical equipment.
• Education: Bachelor’s degree in Electronic Engineering, Computer Engineering, or a related field. Advanced degree preferred.
• Skills:
  • Extensive knowledge of hardware edge/embedded devices.
  • Proficiency with operating systems, particularly Linux.
  • Strong technical troubleshooting and problem-solving skills.
  • Proficient in managing medical electrical equipment and their installation within the patient range.
  • Excellent communication and collaboration abilities.
  • Proficiency in English; additional languages are an advantage.
  • Cybersecurity.
• Personal Attributes:
  • Highly dynamic and adaptable to a fast-moving and innovative environment.
  • Strong analytical skills with a detail-oriented approach.
  • Ability to work independently and collaboratively across multifunctional teams.
  • Resilient and able to work effectively under stress and tight deadlines.
  • Willingness to travel as needed.

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

Purpose:

Systems and Data Center Administrator of Cosmo Intelligent Medical Devices.

Work Location: Lainate (MI)– Italy – Via Cristoforo Colombo 1

Key Responsibilities: 

• Maintain and optimize server and data storage systems to ensure high availability and reliability.
• Monitor resource utilization, plan for future capacity needs, and optimize resource allocation.
• Update infrastructure components and select suitable hardware based on performance and scalability requirements.
• Manage and analyze large volumes of data efficiently, ensuring data integrity and security.
• Implement and maintain high-performance network communication protocols and systems.
• Evaluate and recommend cloud storage solutions (e.g., AWS, Azure) to meet business needs.
• Provide technical support to resolve issues, troubleshoot hardware and software problems, and minimize downtime.
• Oversee database management, including design, implementation, performance tuning, and backup and recovery strategies.
• Collaborate with cross-functional teams to understand requirements and provide technical solutions.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in infrastructure management, including server and data storage maintenance and optimization.
• Expertise in handling large volumes of data and optimizing data storage and retrieval mechanisms.
• Strong understanding of high-performance network communication principles and protocols.
• Knowledge and experience with cloud solutions, including public, private, and hybrid cloud environments.
• Proficiency in database management systems, such as MySQL, PostgreSQL, or MongoDB.
• Familiarity with infrastructure as code (IaC) tools and methodologies.
• Experience with GPU servers and high-performance computing environments.
• Excellent problem-solving and analytical skills, with the ability to troubleshoot complex technical issues.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

• Master’s degree in Computer Science, Information Technology, or a related field.
• Industry certifications in infrastructure management, cloud computing, or database administration.
• Experience with containerization technologies, such as Docker or Kubernetes.
• Familiarity with big data technologies, such as Hadoop or Apache Spark.
• Knowledge of cybersecurity best practices and compliance standards.
• Experience working in Agile or DevOps environments.

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

Purpose:

Director of Global Strategy and Business Development of Cosmo Intelligent Medical Devices.

Work Location: Europe, Remote

Key Responsibilities: 

• Strategic Planning: Develop and execute comprehensive global strategies to drive market expansion and business growth in the AI medical device sector.
• Market Analysis: Conduct in-depth market research to identify emerging trends, opportunities, and competitive landscape, providing actionable insights to the executive team.
• Business Development: Identify, evaluate, and establish strategic partnerships, alliances, and acquisitions to expand the company’s global footprint.
• Product Innovation: Collaborate with R&D and product teams to align product development with market needs and strategic goals.
• Leadership: Lead, mentor, and develop a high-performing team, fostering a culture of excellence, innovation, and continuous improvement.
• Stakeholder Management: Build and maintain strong relationships with key stakeholders.
• Performance Metrics: Establish and monitor key performance indicators (KPIs) to track progress against strategic goals and adjust strategies as necessary.
• Communication: Articulate strategic initiatives and business development plans effectively to internal and external stakeholders, such as Medtronic.

Qualification – Skills, and Abilities

• Experience: Minimum of 5 years of proven experience in global strategy and business development within the medical devices or healthcare industry. Focus on AI technologies preferred.
• Track Record: Demonstrated success in driving business growth, forming strategic partnerships, and leading high-impact projects.
• Education: Bachelor’s degree in Business Administration, Marketing, or a related field. MBA or advanced degree preferred.
• Personal Attributes:
  • Highly dynamic and adaptable to a fast-moving and innovative business environment.
  • Strong business acumen and entrepreneurial mindset.
  • Ability to work collaboratively across multifunctional teams and cultures.
  • Results-oriented with a proactive approach to problem-solving.
  • Flexibility and ability to travel. Preferred if based in a major European city.

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

Purpose:

Senior  Systems Engineer to support the production and maintenance of Intelligent Medical Devices

Work Location: Rome – Italy – Viale Ostiense 131/L

Key Responsibilities: 

• Medical Device production: create tools Linux based to improve the production line;
• scripting bash, python, javascript;
• AWS Cloud management and configuration (S3, IAM, security policies, auditing);
• Cyber security: prevention and implementation;
• Support in the information problems and analysis of the Root Cause of the medical devices.

Qualification – Required Knowledge, Skills and Abilities

• Proven expertise in Linux systems and networking (Debian/Ubuntu is preferable);
• Proven expertise in Cyber security;
• experience in database PostgreSQL administration and management (other databases are optional)
• the ability to manage customers and third parties;
• the aptitude to work in a team;
• personal motivation for professional growth;
• ability to adapt to changing projects and priorities.

The plus will be the knowledge of one or more of the following standards: ISO 9001, ISO 27001.

Minimum Required Education and Experience

• 4+ experience in the role (highly desirable);
• Informatics (or equivalent) master degree;
• Knowledge of ISO 27001;
• Linux systems and networking.

Qualification – Skills, and Abilities:

• analytical and problem-solving skills
• result orientation
• excellent interpersonal skills with customers and team members.
• skills in systems management, database administration and system security in Linux and Cloud environments.

Physical Requirements

• Expected travel is 30% in Italy

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

We are seeking a skilled and detail-oriented Medical Image Annotation Specialist to join our dynamic team. The successful candidate will play a crucial role in the development of our AI algorithms by accurately annotating medical images.  We don’t mandate specific expertise in the field, as the selected candidate will receive training and constant updates by experts and healthcare professionals. Instead, we seek motivated, flexible, and quick-learning individuals eager to join our team in a friendly and collaborative environment. 

Work Location: Lainate (MI) – Italy – Via Cristoforo Colombo 1

Responsibilities: 

• Accurately annotate medical images using specialized tools. 
• Ensure high-quality and consistent annotations to support the training of AI algorithms. 
• Conduct thorough quality checks on images to identify inaccuracies. 
• Contribute to the continuous improvement of annotation processes and tools. 
• Participate in review sessions to enhance skills and stay updated on industry standards. 

Required Qualifications and Skills: 

• High School diploma. 
• Ability to quickly adapt to evolving annotation requirements and willingness to keep learning new annotation guidelines. 
• Strong ability to focus with a keen attention to detail and accuracy in annotation tasks. 
• Familiarity with PC and proficiency in Microsoft Office applications. 
• Excellent communication and collaboration skills.
   

This role entails a full-time, on-site position at our company office in Lainate (MI).
If you are passionate about contributing to the advancement of medical technology and possess the skills required for accurate medical image annotation, we invite you to apply. Join us in making a positive impact on healthcare and improving patient outcomes. 

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

Work Location: Lainate (MI) – Italy – Via Cristoforo Colombo 1

Responsibilities:

• Contribute to the R&D team by designing and developing software prototypes for AI-powered medical devices, ensuring innovation and efficiency.
• Collaborate closely with machine learning engineers and other stakeholders to seamlessly integrate software components into the overall system architecture.
• Effectively communicate with the Engineering team to facilitate a seamless transfer from prototype software to production-ready deployment.
• Design, implement, and maintain a robust CI/CD pipeline and test suite tailored for the R&D codebase, aligning with industry best practices.
• Demonstrate proficiency in Python and C++, focusing on crafting clean, modular, and efficient code.
• Leverage strong expertise in object-oriented programming and design patterns for scalable and maintainable code.
• Establish and maintain best DevOps practices within the R&D team, actively participating in code reviews, troubleshooting, and optimization efforts.
• Create and maintain comprehensive documentation for software architecture, design, deployment processes, and CI/CD pipelines, ensuring clear and accessible records.

Requirements:

• Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field.
• Proven experience in software development using Python and C++.
• Strong understanding of DevOps principles with hands-on experience in CI/CD pipelines and code versioning software.
• Expertise in object-oriented programming and design patterns.
• Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Contributions to open-source projects or a robust GitHub profile.
• Background in statistics and experience defining metrics and KPIs for machine learning and computer vision tasks.
• Experience with MLops (Machine Learning Operations) practices and tools.
• Proficiency in the Scientific Python stack (Numpy, SciPy, etc.).
• Familiarity with PyTorch, TensorFlow, and Scikit-Learn.
• Background in Network Communication and Information Systems.
• Advanced degree or certifications in relevant fields.
• Previous experience in deploying software for online real-time applications.
• Knowledge of machine learning concepts and frameworks.

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

Purpose

Join the Quality Engineering Team to support development and production of Intelligent Medical Devices

Work Location: Rome – Italy – Viale Ostiense 131/L

Key Responsibilities

• Software and Hardware Verification & Validation
• Development and management of technical documentation
• Ensure that the design team develops the product according to Operating Procedures
• Draft and/or revise procedures and checklists for production (e.g., assembly, software installation, product release…)
• Draft and revise protocol for end-of-line testing
• Label management and control
• Documentation management and review: archiving, maintaining a file for checking produced serials
• Design transfer and training activities
• CAPA management: non-conformance management and compliant, root cause analisys

Qualification – Required Knowledge, Skills and Abilities

• Knowledge of IEC/EN 60601-1 and IEC/EN 60601-1-2
• Knowledge of IEC 62304
• Knowledge of 2017/745(MDR) and 21 CFR 820
• Knowledge of 21 CFR part 11
• Ability to write and review all project related Documentation (FRS, SRS, SDS, HRS, HDS, etc.)
• Familiarity with medical software development and software development processes in compliance with regulations.

Minimum Required Education and Experience

• 3+ Experience in the role (highly desirable)
• Life science or Engineering education
• Knowledge of ISO 9001, ISO 13485, 93/42/CEE (MDD)
• Good English Level (writing and speaking)

Physical Requirements

• Expected travel is 20%

Work Location: Lainate (MI) – Italy – Via Cristoforo Colombo 1

Responsibilities:

• Collaborate with senior AI engineers and cross-functional teams to develop and implement AI solutions for medical devices.
• Assist in designing, developing, and testing AI algorithms, models, and systems.
• Support the integration of AI technologies into existing medical devices and systems.
• Stay up-to-date with the latest advancements in AI, machine learning, and computer vision.
• Participate in code reviews, troubleshooting, and optimization efforts.
• Document and communicate technical concepts and solutions effectively.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning, computer vision, and deep learning concepts.
• Proficiency in programming languages such as Python or C++.
• Experience with popular AI frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of statistical analysis and data visualization tools.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Proactive and self-motivated with a strong desire to learn and grow.

Preferred Qualifications:

• Demonstrated involvement in AI-related projects or research (e.g., coursework, internships, personal projects, publications, contribution to open-source projects).
• Knowledge of medical imaging analysis, signal processing, or healthcare data management.

We support equal opportunities, without any discrimination.

The research complies with Legislative Decree 198/2006

Project Description

In partnership with the Artificial Intelligence Research Centre (CitAI) at City, University of London, Cosmo Intelligent Medical Devices is funding a Ph.D. Studentship on Endoscopic Video Analysis. The Ph.D. project offers the opportunity to investigate and pursue research in machine learning applied to endoscopy, with access to Cosmo IMD computational facilities and a proprietary library of annotated endoscopy videos. These datasets are unprecedented in size, quality, and heterogeneity and will offer an exclusive real-world benchmark for self-supervised and fully supervised learning approaches.

About the Studentship

We seek outstanding Ph.D. candidates with a strong interest, enthusiasm, and high potential in machine learning research for medical imaging applications. Applicants are typically expected to have a first-class, distinction, or high upper-second-class degree in relevant subjects, including computer science, mathematics, engineering, physics, or another discipline relevant to their Ph.D. project proposal.

The project will be carried out at The Artificial Intelligence Research Centre (CitAI) at City, University of London, in collaboration with Cosmo IMD. City University has a demonstrated high-quality research output, with over 75% of its studies rated as world-leading research. The Ph.D. studentship will be funded for three years and includes tuition fees for home students and a highly competitive tax-free stipend.

For further details please visit this web page.