MACHINE LEARNING ENGINEER

We are looking for a Machine Learning Engineer with strong formalization skills able to convert stakeholders needs in verifiable hypothesis to deliver even better clinical services.
Your main contribution will be focused on developing models to answer clinical questions with evidence in a R&D setting using structured and unstructured data from the electronic health record.
You will routinely interface with clinical stakeholders to evaluate KPI, update the modeling strategy and course-correct unverified hypothesis.
You will be developing libraries to share with your team and leverage already existing ones.
The main objectives of the research activity is to answer clinical question with data driven methodologies with a special emphasis on evaluation, fairness and transparency so to produce transactional research of quality.
Y ou will be part of the Humanitas AI Center reporting to the Chief Innovation Officer.
The AI Center of Humanitas, a fast-paced research team at one among Italy’s best institutions working in the biomedical research field, 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.
Main activities.
• Retrieval and querying of data from distributed architecture databases, • Exploratory data analysis on clinical data, • Innovative algorithms design and data analysis to discover and assess significant dynamics and patterns from complex data, • Explore, define and support the validation of statistical and machine learning models in order to obtain useful tools to be applied in the biomedical field, • Create and iterate possibly scalable computational models, in order to make the theoretical findings applicable to real world data.
• Collaborate with international external partners on cross-academic research projects.
Candidate profile We are looking for motivated candidates who appreciate challenging tasks, objectives and are strongly oriented to both scientific excellence, high performances computing and human relationships.
Mandatory Requirements • Master in a STEM related field.
• Fluent in written and spoken English and Italian.
Hard Skills • Strong scripting and programming skills in Python, • Excellent statistical knowledge, • Experience with Data Management, Data integration, data transformation (ETL), • Strong experience with pre-processing and exploratory data analysis on clinical data, with effective results reporting, • Knowledge of SQL, • Knowledge with infrastructure as code principles, • Knowledge of PaaS and SaaS solutions offered by Cloud Providers (Azure, AWS, GCP), • Experience with deployment including knowledge of CI/CD, containerization (Docker), and related concepts, • Excellent analytical and problem solving skills.
Strongly recommended.
• Story telling.
communicate your results to stakeholders without your expertise with impact, • Experience working with electronic health records.
Soft Skills • Excellent team-working capabilities even with colleagues from different research areas and backgrounds, • Strong self-motivation and proactive approach, • Able to meet deadlines and work autonomously, • 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 and duration We can offer a fixed-term contract of at least two years, that could be converted into a permanent contract.
Salary, as well as employment level, will be defined based on candidate's profile.