Job Title: Healthcare Data Scientist
We are seeking a highly skilled and motivated Data Scientist to join our team in the field of healthcare. The ideal candidate will have experience in machine learning and deep learning techniques applied to structured and unstructured medical data.
Main Responsibilities:
* Collaborate in research and development of innovative generative data models for effective synthetic data generation and digital twins in healthcare;
* Develop 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;
* Conduct exploratory data analysis and integration of highly fragmented data;
* Visualize data, report effective results and derive useful knowledge using a data-driven approach;
Required 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;
* MLOps practices, IT infrastructures, back end frontend development knowledge is a plus;
* 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.