Data Scientist - Machine Learning Engineer

We are looking for a Data Scientist - Machine Learning Engineer with experience in machine learning applied to medical data field.

As a part of our AI team we expect the candidate to research and develop new statistical and machine learning methods for the generation and assessment of medical synthetic data. We expect a contribution in developing new technologies for data synthesis 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 AI Center of Humanitas is focused in 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. We are a team of multidisciplinary scientists who work day by day on e-health and AI projects, by collaborating with clinical staff (doctors, nurses, researchers) and management staff.

Responsibilities and Main activities

• Collaborate in research and development of innovative generative data models for effective synthetic medical data generation;
• Development of statistical, machine learning and deep learning models on medical data, including time-series/longitudinal data;
• Exploratory data analysis and integration of highly fragmented data;
• Explore, define and support the validation of the statistical and machine learning models in order to obtain useful tools to be applied in the biomedical field;
• Data visualization and effective results reporting;
• Create and iterate possibly scalable computational models, in order to make the theoretical findings applicable to real-world data;
• Deriving knowledge and decisions support using data-driven approaches.
• Collaborate with international partners in both private industry and academia

Skills and Qualifications

• Fluent in written and spoken English and Italian;
• Experience in development and implementation of machine learning/deep learning techniques applied to medical data field;
• Experience in developing generative models (e.g. statistical, GAN, VAE, etc.) applied to medical data for synthetic data generation;
• Good proficiency in Python;
• Experience with cloud (GCP, AWS, Azure) and/or distributed computing is appreciated;

• Excellent team-working capabilities even with colleagues from different research areas and backgrounds;
• Ability to meet deadlines and work autonomously in rapidly changing environments;

Why you should consider this opportunity

Humanitas Research Hospital is investing in data driven research and development of clinical support tools based on AI, you will contribute to the design and application of breakthrough technologies to be deployed in advanced clinical institutions.

You will get access to an extraordinary group of talented and passionate people coming from fields ranging from clinical sciences and healthcare management to informatics, bioinformatics and systems biology, including our extended international research network.

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.