Ofertas em Genova, Itália

Python Developer (freelance / P.IVA) to support the development of new features to be integrated into LivGemini’s medical software platform LivSpace. The selected candidate will work closely with our development team to design, implement and test new features that will enhance our software suite, ensuring scalability, maintainability and compliance with coding best practices and regulatory standards. Applications are open from September 12th to September 25th, 2025.

About LivGemini LivGemini is an innovative start-up based in Italy focused on developing software solutions based on AI and computational modeling to support radiologists and cardiovascular surgeons in diagnosis and pre-operative planning. LivGemini has been recognized with the Italian Innovation Award in the MedTech category in 2023. Our mission is to revolutionize how clinicians plan and perform cardiovascular surgical procedures by integrating in-silico models. We envision a future where each patient receives a personalized treatment based on his anatomical and physiological features, significantly reducing complication risks and enhancing precision for improved clinical outcomes. Our team includes biomedical engineers, software developers and regulatory professionals working closely with surgeons and hospitals across Europe.

The candidate will:

• Design and develop new Python features for LivSpace with a strong focus on data ingestion pipelines, database schemas and APIs to store and retrieve imaging datasets (CT DICOM) and associated metadata.
• Contribute to software design activities ensuring clean architecture and modularity.
• Implement and execute unit tests to ensure robustness and reliability of the code.
• Collaborate with the internal team to align developments with system integration needs.
• Participate in code reviews and continuous improvement of software quality.
• The position collaboration will be structured as a freelance contract, with a planned end in February 2026.

The Contractor remains free to determine the place and timing of performance, subject only to participation in agreed online coordination meetings and achievement of project milestones. The position is expected to start on October 1, 2025. Prior to contract signing, the Parties will define and agree upon all Deliverables, Milestones and KPIs, including acceptance criteria.

A mutual Non-Disclosure Agreement (NDA) will be executed in addition to the service agreement. Potential changes will be announced via updates on the website or on LinkedIn.

Model: payment upon milestone completion and acceptance. Indicative fee range: 12,000 – €15,000 for the overall engagement, depending on seniority and portfolio fit. Payment terms: 30 days from invoice date.

• Proven experience in Python development.
• Experience with software design principles.
• Experience with unit testing framework (pytest).
• Familiarity with version control system (Git).
• Familiarity with CRM tools (Atlassian) and documentation tools.
• Nice to have - Familiarity with PySide6 / QT or similar GUI frameworks.
• Nice to have - Knowledge of medical imaging libraries (e.g., pydicom, VTK).

1. Impact: contribute to ground-breaking advances of in-silico solutions that will transform the medical device industry and deliver innovations for patients’ healthcare and well-being.
2. Entrepreneurial Environment: be a significant part of a cutting-edge start-up that encourages creativity and proactive attitude.
3. Research-Driven Innovation: collaborate with a world-class scientific team to influence the development of products and services based on state-of-the-art research.
4. Upskilling and Scaling: gain valuable training and opportunities for rapid scaling within the start-up.
5. Flexibility: enjoy a flexible goal-oriented work environment, complemented by hybrid working opportunities.

If you are interested in joining our team, please get in touch. Send your CV (maximum 4 pages) to [email] with the title: “Application LG-FLP LastName FirstName”. After evaluating the CVs, selected candidates will be re-contacted to arrange an online assessment meeting on a pre-determined date.