Project Manager / Business Analyst (GEMINI Project)

Project Manager / Business Analyst (GEMINI Project)

The GEMINI Project

The GEMINI project, "Digital Twins by Generative Artificial Intelligence to Boost Personalized Medicine and Therapeutic Innovation", led by Humanitas Research Hospital, Humanitas AI Center, and Humanitas University, has been funded by the Ministry of University and Research under the FISA program.

Over the next five years, the goal is to develop a model based on innovative and scalable AI algorithms and real-world data (Digital Twin) that replicates the biological and clinical complexity of human diseases with a high social impact (such as cancers, debilitating chronic diseases, and rare diseases).

The ultimate aim is to provide physicians and patients with a validated and transparent tool to support critical aspects of clinical management, including diagnosis, prognosis, and optimal treatment selection.

Job Description

We are seeking a Project Manager / Business Analyst to drive the successful delivery of projects, particularly those involving advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The candidate will collaborate with cross-functional teams to define requirements, manage project lifecycles, and ensure alignment with business objectives while maintaining clear communication among stakeholders.

The role also involves supporting the pre-award phase of national and international funding programs, including grant proposal preparation, submission, and compliance with funding requirements. As a Business Analyst, the candidate will analyze business processes, gather and define requirements, and propose data-driven solutions to improve efficiency and decision-making. Additionally, the Project Manager / Business Analyst will contribute to developing innovative solutions and fostering partnerships between internal teams and external organizations, ensuring alignment between business needs and technological advancements.

Responsibilities and Main Activities

• Coordinate and support the pre-award phase of national and international funding programs, including grant proposal preparation, submission, and compliance monitoring.
• Assist in the planning, execution, and delivery of technical projects, ensuring alignment with timelines, budgets, and objectives.
• Collaborate in the development and implementation of innovative solutions, leveraging advanced technologies such as AI, ML, and data-driven methodologies.
• Facilitate the design, integration, and management of collaborative projects, fostering partnerships with both internal teams and external stakeholders.
• Ensure proper documentation of all project phases, including technical specifications, risk assessments, and progress reports.
• Act as a liaison between technical teams and non-technical stakeholders, translating technical concepts into actionable plans.
• Monitor and evaluate project performance, identifying and addressing potential risks or roadblocks.
• Market analysis and business development

Skills and Qualifications

• Basic understanding of AI, ML, and data science concepts, including their potential applications in real-world scenarios.
• Experience in writing and managing grant applications or funding proposals for national and international programs is a strong advantage.
• Familiarity with software development cycles and/or IT infrastructures is appreciated.
• A Bachelor’s degree in a relevant STEM discipline (e.g., Engineering, Computer Science, or similar); Master’s preferred.
• Fluent in written and spoken English.
• Proficiency in MS Office Suite and tools for data visualization and reporting.

Soft Skills

• Excellent team-working capabilities even with colleagues from different research areas and backgrounds;
• Strong self-motivation, commitment and proactive approach;
• Ability to meet deadlines and work autonomously in rapidly changing environments;
• Curiosity and ability of stepping outside your comfort zone.

Contract and duration

We can offer a fixed-term contract. Contract duration, salary, as well as employment level, will be defined based on candidate's profile.

All candidate data collected from the application shall be processed in accordance with applicable law: Dlgs 198/2006 e dei Dlgs 215/2003 e 216/2003;  privacy ex artt. 13 e 14 del Reg. UE 2016/679.