Della Porta ai Researcher (Gemini Project)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7i08sj

Località: Rozzano, IT, 20089 **AI Researcher (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. The AI Researcher has experience in machine learning and deep learning applied to structured and unstructured medical data. **Responsibilities and main activities**
- Collaborate in research and development of innovative generative data models for effective synthetic data generation and digital twins in healthcare;
- Development of statistical, machine learning and deep learning models on medical data, including time-series/longitudinal data;
- Explore, define and support the clinical validation of the statistical and machine learning models applied to real-world data;
- Exploratory data analysis and integration of highly fragmented data;
- Visualize data, report effective results and derive useful knowledge using a data-driven approach;




- Collaborate with international partners in both private industry and academia; **Skills and qualifications**
- Experience in developing machine learning and deep learning techniques and algorithms (such as k-NN, Naive Bayes, Support Vector Machines, Random Forests, etc) in healthcare, also applied to time-series/longitudinal data;
- Experience in developing generative models (e.g. statistical, GAN, VAE, etc.) applied to medical data for synthetic data generation and digital twins;
- Good knowledge of Computer Vision and/or NLP is appreciated;
- Experience in applied statistics skills, such as distributions, statistical testing, regression, etc;
- Good scripting and programming skills;
- Good proficiency in Python, R programming languages;
- Experience with data science frameworks (e.g. tensorflow, pytorch, scikit learn, scipy, pandas, numpy) and visualization frameworks (e.g. plotly, seaborn, matplotlib);
- Experience with cloud (GCP, AWS, Azure) and/or distributed computing is appreciated;
- Knowledge of MLOps practices, IT infrastructures, back end frontend development is appreciated;
- Master (PhD would be a plus) in a STEM discipline;
- Fluent in written and spoken English and Italian; **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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7i08sj