Senior Computer Vision Engineer - Machine Learning

Località: 

Rozzano, IT, 20089

                                                                                         

We are looking for a Senior Computer Vision Engineer with at least 3 years of experience in computer vision applied to medical imaging field. As part of our Computer Vision team we expect the candidate to help us discover the information hidden in radiological and general medical image data, and help us make smart decisions to deliver even better clinical services.

As a senior member of the Computer Vision engineering team, we expect you to contribute in performing exploratory analysis, applying data mining techniques, doing statistical and radiomics analysis, building AI-based models and products such as prediction systems, classification and detection tools.

You will be part of the Humanitas AI Center and report to the Chief Innovation Officer.

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 composed of two branches; NLP branch, devoted to extract structured and un structured information from electronic health records (EHR), and Computer vision applied to medical imaging, to enable ML techniques to a wide range of clinical use cases to improve diagnosis. 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

  • Development of machine learning and deep learning models on images and/or 3D/time-variant data;
  • Contribute to solutions design and establishment of requirements;
  • Retrieval and querying of data from distributed architecture databases;
  • Exploratory data analysis on clinical data and integration of highly fragmented data;
  • Self and team-management on individual and team-sized studies’ deadlines;
  • Data visualization and effective results reporting;
  • Deriving knowledge and decisions support using data-driven approaches.

 

Skills and Qualifications

 

  • Fluent in written and spoken English and Italian;
  • At least 3 years of experience in computer vision applied to medical imaging field (e.g. CT, MRI, CR, DTS, Digital Pathology, MicroUS, etc.);
  • Excellent understanding of Deep Learning models;
  • Experienced knowledge of Machine Learning techniques and algorithms, such as k-NN, Naive Bayes, Support Vector Machines, Random Forests, etc;
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc;
  • Advanced proficiency in Python
  • Advanced scripting and programming skills;
  • Experience with cloud (GCP, AWS) and/or distributed computing;
  • Experienced knowledge of SQL is appreciated;
  • Experience with data science frameworks: tensorflow, pytorch, scikit-learn, scipy, pandas, numpy;
  • Experience with visualization frameworks: plotly, seaborn, matplotlib;
  • Master (PhD would be a plus) in a STEM discipline.

 

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.

 

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 duration, salary, as well as employment level, will be defined based on candidate's profile.