Junior Data Scientist (AI Center)

Job Description

The Data Scientist has experience in machine learning and deep learning applied to structured and unstructured medical data.

The candidate will research and develop new statistical and machine-learning methods for the analysis of medical and clinical records, applying Artificial Intelligence (AI) techniques on real-world healthcare data.

The candidate will contribute to developing new technologies for data synthesis and digital twins using a wide variety of machine learning and deep learning methods; investigating various research topics in machine learning and statistics to determine the best method for medical data synthesis and effective approach for generated data validation.

The main focus of the project is research in the field of Artificial Intelligence applied in healthcare. Research and development areas include predictive and decision-support systems based on data-driven model (ML/DL models) to optimize clinical processes and ultimately improve the quality of patient care.

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

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.